The Latest AI News and Breakthroughs in Healthcare and Medical

Curious about how artificial intelligence is transforming the healthcare industry in 2025? In this article, we have explored the most recent innovations, funding announcements, and real-world applications of AI that are reshaping patient care, improving efficiency, and unlocking new frontiers in medical science. Check out these latest AI-related healthcare news and breakthroughs in 2025. 

Artificial Intelligence News, Breakthroughs, and Innovations that Shape Healthcare and Medical Industries

Let's explore the AI news that matters the most.

‍Chinese Researchers Inject AI Power to Evidence-Based Medicine

News Date: December 18, 2025

Chinese researchers have developed a specialized AI system designed to transform evidence-based medicine (EBM) by automating the labor-intensive process of analyzing vast amounts of clinical data.

• Collaborative effort led by researchers from Fudan University and the University of Hong Kong to streamline the synthesis of medical literature.
• Platform automates the identification, screening, and summarization of clinical trials, significantly reducing the time required for systematic reviews.
• Enhances clinical decision-making by providing doctors with rapid, up-to-date evidence summaries that were previously difficult to compile manually.
• Aims to bridge the gap between the rapid growth of medical research and the practical implementation of findings in patient care.
• Highlights the role of AI in improving the accuracy and efficiency of healthcare policies and personalized treatment plans.

News Resource: CGTN

AI-Designed Molecule Boosts Chemotherapy Response in Pancreatic Cancer

News Date: December 18, 2025

Researchers at the Italian Institute of Technology (IIT) have used artificial intelligence to design a molecule that makes pancreatic cancer cells significantly more vulnerable to standard chemotherapy.

• Designed a new molecule called Apt1, an aptamer created using the catRAPID algorithm to target specific proteins involved in cancer cell DNA repair.
• Disrupts the interaction between RAD51 and BRCA2, two proteins that normally allow cancer cells to survive DNA damage caused by anticancer drugs.
• Increases treatment effectiveness even at lower chemotherapy doses, potentially reducing the severe side effects associated with high-dose regimens.
• Demonstrated success in preclinical models, showing a greater capacity to attack cancerous tissues when combined with drugs like olaparib compared to using those drugs alone.
• Targets one of the most aggressive cancers, offering a new therapeutic strategy for a disease with a notoriously low five-year survival rate.

News Resource: Technology Networks

Fujitsu and Sapporo Medical University to Realize Personalized Medicine

News Date: December 18, 2025

Fujitsu and Sapporo Medical University are expanding their partnership to leverage AI and data portability, enabling patients to securely manage their own health records while advancing personalized treatment.

• Collaborative project focuses on a cloud-based healthcare data platform that integrates electronic health records (EHRs) with patient-generated vital data from devices like the Apple Watch.
• Platform utilizes AI to analyze longitudinal patient journeys, supporting medical institutions in selecting the most appropriate drugs and treatment methods tailored to individual backgrounds.
• Empowers patients via a smartphone app to check past medical information, including test results and prescriptions, and decide the scope of data usage for research.
• Aims to accelerate R&D in critical areas such as diabetes treatment and early disease risk diagnosis by providing pharmaceutical companies with high-quality, anonymized clinical data.
• Highlights the shift toward a digital health ecosystem where data-driven insights improve both regional medical cooperation and individual patient well-being.

News Resource: Fujitsu Global

AI Analysis of Chest X-rays May Reveal Early Signs of Aging

News Date: December 17, 2025

A new AI-driven study suggests that deep learning models can analyze chest X-rays to estimate a patient’s "biological age," offering a potential biomarker for identifying age-related diseases and mortality risks.

• Study conducted by researchers using a deep learning model trained on hundreds of thousands of chest radiographs to detect subtle patterns of physiological decline.
• Platform identifies discrepancies between a patient’s chronological age and their AI-estimated biological age, signaling potential underlying health issues.
• Supports early intervention by highlighting individuals at higher risk for cardiovascular diseases, chronic obstructive pulmonary disease (COPD), and other age-related conditions.
• Provides a non-invasive tool for clinicians to assess overall health status during routine screenings without requiring specialized equipment.
• Highlights the potential for AI to turn standard medical imaging into a predictive tool for longevity and preventative care.

News Resource: News-Medical.net

World's First Health AI Orchestrator Platform Launches

News Date: December 17, 2025

McCrae Tech has launched "Orchestral," a pioneering health-native AI orchestrator designed to unify disparate healthcare data sources and manage scalable AI deployment.

• Launched by McCrae Tech to address the "unworkable AI chaos" of isolated point solutions and unsustainable pressures on global health systems.
• Platform features three core components: The Health Information Platform (HIP) for data ingestion, a Health Agent Library (HAL) for governed AI building blocks, and Health AI Tooling (HAT) for building workflows.
• Connects diverse data sources with AI agents and algorithms, enabling governed deployment across entire healthcare ecosystems.
• Aims to reduce diagnostic errors, which are estimated to affect up to 15% of diagnoses globally and create significant financial burdens.
• Highlights a new category in health technology by serving as a "trusted source of truth" for models, tools, and data connections.

News Resource: Vietnam Investment Review

AI Model Diagnoses Hard-to-Detect Heart Disease from Simple EKG

News Date: December 16, 2025

Researchers at Michigan Medicine have developed an AI model capable of diagnosing coronary microvascular dysfunction (CMVD), a condition often missed in standard tests, using only a 10-second EKG strip.

• Developed by University of Michigan researchers to identify a complex heart condition that typically requires expensive, rarely accessible PET imaging.
• Utilizes self-supervised learning on a dataset of over 800,000 unlabeled EKG waveforms, fine-tuned with a smaller set of "gold standard" PET scans.
• Outperforms earlier AI models in nearly every diagnostic task, including the prediction of myocardial flow reserve, the benchmark for diagnosing CMVD.
• Provides a cost-effective solution for hospitals lacking advanced imaging, potentially preventing missed diagnoses during emergency department visits.
• Enables rapid identification of patients who would benefit from advanced testing for serious conditions using routine, non-invasive hospital equipment.

News Resource: EurekAlert!

Meta's AI Glasses Add 'Conversation Focus' to Enhance Hearing

News Date: December 16, 2025

Meta has introduced a new "Conversation Focus" feature for its Ray-Ban and Oakley smart glasses, a hearing assist function designed to amplify voices in noisy environments.

• Utilizes beamforming technology and real-time spatial processing to isolate and amplify the voice of a specific person in a conversation.
• Designed for noisy public spaces such as crowded restaurants, busy cafes, or commuter trains, helping users distinguish dialogue from ambient background noise.
• Offers customizable control, allowing wearers to adjust amplification levels via a tap-and-hold gesture on the glasses' temple or through the mobile app.
• Includes new Spotify integration that can "match the view," using multimodal AI to generate music playlists based on what the wearer is looking at.
• Available via Early Access for Ray-Ban Meta and Oakley Meta HSTN glasses in the U.S. and Canada, as part of the v21 software update.

News Resource: TechCrunch

New AI Tool Predicts Specific Disease Outcomes from DNA Mutations

News Date: December 16, 2025

Scientists at the Icahn School of Medicine at Mount Sinai have developed a new AI system, V2P (Variant to Phenotype), that forecasts which diseases a specific genetic mutation is likely to trigger.

• Goes beyond basic classification by not just flagging if a mutation is harmful, but identifying the exact type of disease it may cause, such as cancer or nervous system disorders.
• Speeds up genetic diagnosis for rare and complex illnesses by frequently ranking the true disease-causing mutation within the top 10 candidates in tests.
• Guides personalized treatment by linking genetic variants directly to their expected traits, bringing the medical field a step closer to precision medicine.
• Aids drug developers in identifying pathways and genes most closely linked to specific diseases to tailor new therapies to individual genomic profiles.
• Expansion plans include integrating more detailed data sources to move from broad disease categories to highly specific clinical predictions.

News Resource: ScienceDaily

AI Biotech Preview: Clinical Trials Take Center Stage in 2026

News Date: December 12, 2025

The AI biotech sector is moving past foundational models toward a "clinical era," with multiple AI-designed drug candidates expected to reach critical clinical milestones throughout 2026.

• Industry shift sees "molecules over models" as AI startups sprint to the clinic to prove the efficacy of computationally designed treatments in humans.
• Multiple candidates in clinic: Leading biotechs like Iambic and Generate are expected to have three or more AI-designed drugs in clinical trials by 2026.
• Focus on high-impact diseases, including clinical trials for ALS, autoimmune conditions, and oncology, where AI aims to shorten the path to viable therapies.
• Increased biopharma adoption now sees over half of major pharmaceutical companies classified as "heavy AI" users, integrating the technology into core R&D pipelines.
• Highlights a pivotal year for the industry, as the focus moves from the potential of "de novo" protein design to delivering measurable patient outcomes in large-scale studies.

News Resource: Endpoints News

Philips Advances Cardiac MR with AI Innovations to Expand Access

News Date: December 1, 2025

Philips has unveiled a new suite of AI-powered innovations for Cardiac MR (CMR) designed to automate complex workflows and improve diagnostic precision for heart patients.

• Introduces SmartSpeed Cardiac AI, which significantly accelerates MR scanning speeds while maintaining high image resolution.
• Features automated clinical workflows that reduce manual tasks for technicians, helping to address global staff shortages in radiology.
• Enhances diagnostic confidence by providing clearer images of moving heart structures, even in patients with irregular heartbeats.
• Aims to expand patient access by making cardiac MR exams shorter and more comfortable, potentially increasing the number of patients scanned daily.
• Integrates seamlessly with existing Philips MR systems, allowing healthcare providers to upgrade their current diagnostic capabilities.

News Resource: Philips News

New AI Models Detect Dementia with High Accuracy Using EEG Signals

News Date: November 27, 2025

Researchers have developed advanced AI models that can identify dementia and cognitive impairment by analyzing Electroencephalogram (EEG) brainwave patterns with remarkable accuracy.

• Utilizes deep learning algorithms to detect subtle abnormalities in brain activity that are often invisible to the human eye during standard clinical reviews.
• Achieved over 90% accuracy in distinguishing between healthy individuals and those with early-stage Alzheimer’s disease or other forms of dementia.
• Offers a low-cost alternative to expensive PET scans or invasive spinal taps, making dementia screening more accessible in primary care settings.
• Enables early detection, allowing for earlier medical intervention and lifestyle changes that can help slow the progression of cognitive decline.
• Highlights the growing potential of portable EEG devices combined with AI to monitor brain health outside of specialized neurological clinics.

News Resource: News-Medical.net

New AI Model Could Speed Rare Disease Diagnosis

News Date: November 24, 2025

Researchers at Harvard Medical School have developed a specialized artificial intelligence model designed to identify rare genetic diseases by analyzing complex clinical data and medical literature.

• Utilizes a "medical-centric" large language model trained on vast repositories of rare disease cases, symptoms, and genomic data to assist in differential diagnosis.
• Identifies patterns across disparate data points—such as lab results, imaging, and patient histories—to suggest potential rare conditions that clinicians might not consider.
• Aims to end the "diagnostic odyssey" for millions of patients who often wait years or decades for an accurate diagnosis of a rare ailment.
• Supports precision medicine by linking specific clinical phenotypes with their underlying genetic drivers, helping to guide targeted therapy options.
• Highlights the potential for AI to act as a "specialist's assistant," providing expert-level knowledge to frontline doctors managing complex, undiagnosed cases.

News Resource: Harvard Medical School News

Google Launches Gemini 3 with "Med-Gemini" Advancements for Healthcare

News Date: November 18, 2025

Google has introduced its most capable AI model yet, Gemini 3, featuring a specialized "Med-Gemini" version designed to process complex multimodal medical data like X-rays and pathology slides.

• Sets new record for accuracy, achieving a 91.1% score on standardized medical exam questions (MedQA), surpassing previous benchmarks.
• Processes multimodal inputs natively, allowing the model to analyze radiology scans and genomic data alongside written doctor's notes and audio streams.
• Introduces open research models, including MedGemma for clinical language and TxGemma specifically tailored to accelerate drug development.
• Features "agentic" capabilities that support multi-step workflows, enabling the AI to act as a sophisticated assistant for complex clinical reasoning.
• Aims to reduce diagnostic errors by providing state-of-the-art reasoning that integrates disparate patient information for better decision support.

News Resource: IntuitionLabs

Microsoft Unveils Proprietary Healthcare AI Models and Agent Evaluator

News Date: November 18, 2025

At Ignite 2025, Microsoft introduced "agentic" AI innovations, including proprietary healthcare models and a validation tool to help medical teams test AI performance on clinical tasks.

• Launches MedImageInsight Premium, a multimodal model for X-rays and pathology that delivers up to 15% higher accuracy than previous open-source versions.
• Introduces CXRReportGen Premium, which is trained on massive amounts of real-world data to generate high-quality, clinic-ready chest X-ray reports.
• Provides a Healthcare AI Model Evaluator on GitHub, allowing organizations to test and validate AI models on their own data in a secure environment.
• Features a Healthcare Agent Orchestrator to help clinical teams build and coordinate complex workflows using multiple AI agents.
• Enables "Dragon Copilot" extensions, allowing third-party partners to build specialized medical AI solutions on top of Microsoft's existing clinical assistant.

News Resource: Microsoft Industry Blogs

UT Southwestern Deploys NVIDIA AI Platform to Propel Medical Research

News Date: November 4, 2025

UT Southwestern Medical Center has become one of the first in the world to deploy the NVIDIA AI Data Platform, integrating Blackwell GPUs to accelerate large-scale medical training and inferencing.

• Utilizes IBM Fusion's content-aware services to automatically prepare and index massive, unstructured medical datasets for immediate AI use.
• Accelerates drug discovery by integrating the NVIDIA BioNeMo framework, helping researchers build deep learning models for faster biomolecular discovery.
• Powers patient digital avatars that securely ingest medical literature to simulate clinical scenarios, allowing students to practice formulating diagnoses.
• Delivers fast semantic query responses, enabling doctors and researchers to extract precise insights from complex multimodal datasets in near-real-time.
• Strengthens translational breakthroughs by decyphering genomics and interpreting medical imaging at a scale previously impossible.

News Resource: IBM Newsroom

AI-Powered Echocardiography Revolutionizes Cardiovascular Disease Care

News Date: October 13, 2025

A groundbreaking AI-powered echocardiography platform is transforming cardiovascular care by providing clinicians with real-time, automated analysis of heart function and structure.

• Integrates deep learning algorithms directly into ultrasound systems to automatically measure key cardiac parameters, such as ejection fraction and strain.
• Reduces inter-operator variability by standardizing image interpretation, ensuring consistent diagnostic results regardless of the technician's experience level.
• Accelerates diagnostic timelines by providing instantaneous reports, allowing physicians to make critical treatment decisions during the patient's visit.
• Enhances detection of subtle changes in heart muscle function that may be missed by the human eye, facilitating earlier intervention for chronic conditions.
• Aims to democratize advanced cardiac imaging by enabling non-specialists to perform high-quality echocardiographic assessments in primary care or rural settings.

News Resource: Bioengineer.org

Suki Launches Nursing Consortium to Support Frontline Nurses via AI

News Date: October 8, 2025

Suki has launched the Suki Nursing Consortium, a coalition of major health systems designed to deploy voice-powered AI tools to alleviate documentation burdens for frontline nursing staff.

• Coalition includes health systems such as CHI Saint Joseph Health and Ascension, focusing on the specific administrative needs of the nursing workforce.
• Deploys Suki Assistant, an ambient AI solution that listens to nurse-patient interactions and automatically drafts clinical notes into electronic health records (EHRs).
• Aims to address the staffing crisis by reducing the time nurses spend on "pajama time" paperwork, allowing them to focus more on direct patient care.
• Provides tailored workflows specifically for nursing tasks, distinguishing it from existing AI solutions that are often optimized only for physicians.
• Promotes clinician well-being by mitigating burnout through the automation of repetitive and time-consuming administrative tasks.

News Resource: Business Wire

AstraZeneca Signs $555 Million Deal with Algen to Develop Gene Therapies

News Date: October 6, 2025

AstraZeneca has entered into a strategic collaboration with U.S.-based biotech Algen, committing up to $555 million to leverage Algen’s AI-powered platform for the development of next-generation gene therapies.

• Collaborative agreement focuses on discovering and developing novel genetic medicines across various therapeutic areas, including oncology and cardiovascular diseases.
• Utilizes Algen’s "Algen-X" platform, which uses machine learning and high-throughput screening to identify optimal genetic targets and delivery mechanisms.
• Includes an upfront payment and potential future milestones totaling over half a billion dollars, highlighting the significant investment in AI-driven drug discovery.
• Aims to accelerate timelines for bringing complex gene therapies from the laboratory to clinical trials by predicting the most effective therapeutic candidates early.
• Strengthens AstraZeneca’s genomic medicine portfolio, positioning the company to compete in the rapidly evolving landscape of precision medicine.

News Resource: Reuters

dHealth Intelligence Launches AI Agent for Personal Health Management

News Date: September 29, 2025

dHealth Intelligence has unveiled a first-of-its-kind AI agent that consolidates fragmented medical data into a unified narrative while providing private, medical-grade AI consultations.

• Consolidates scattered health data, weaving together hospital records, fitness tracker data, and doctor's notes into a single, hands-free health history.
• Ensures high-level privacy by using a "personal cryptographic fortress" architecture, keeping sensitive medical information solely under individual user control.
• Interprets complex medical inputs, allowing users to upload imaging or voice-record symptoms for immediate, standardized medical translation and advice.
• Operates as a free desktop download, with mobile versions planned for Q1 2026 to expand patient access globally.
• Leverages a network of partnerships with pharmaceutical giants like Roche and Novartis to continuously benchmark and improve its medical-grade AI models.

News Resource: USA TODAY

AI in Healthcare Market to Reach USD 187 Billion by 2030

News Date: September 23, 2025

The global AI in healthcare market, valued at about USD 26.6 billion in 2024, is projected to grow to nearly USD 187 billion by 2030 at a CAGR of ~38.5%.

• Growth driven by rising chronic disease burden and explosion of healthcare data.
• Key adoption areas include diagnostics, imaging, genomics, and personalized medicine.
• Increased use of AI for operational efficiency and workflow automation.
• Backed by strong public and private investments worldwide.
• Challenges remain around data bias, transparency, safety, and cybersecurity risks.

News Resource: Medical Buyer

Salt AI Raises $10M to Expand Contextual AI for Life Sciences and Healthcare

News Date: September 22, 2025

Salt AI has secured $10 million in funding to scale its contextual AI platform, designed to accelerate adoption of AI in life sciences and healthcare through visual, compliant, and user-friendly workflows.

• Funding round led by Morpheus Ventures with support from Struck Capital, Marbruck Investments, and CoreWeave.
• Platform supports use cases such as drug discovery, clinical development, and revenue cycle management.
• Provides drag-and-drop visual workflows to simplify integration of data and models.
• Aims to grow global AI engineering teams and expand enterprise customer adoption.
• Highlights growing demand for domain-specific AI solutions in healthcare.

News Resource: HPCwire

NextGen Healthcare Launches NextGen Navigator AI Agent

News Date: September 22, 2025

NextGen Healthcare has introduced NextGen Navigator, an AI-powered customer service agent designed to reduce staff burden by managing patient inquiries.

• Handles tasks like appointment scheduling, medication refills, and practice information.
• Saves staff an estimated 2–3 hours daily by reducing routine inquiries.
• Supports bilingual conversations in English and Spanish.
• Provides transparency to staff with visibility into AI-patient interactions.
• Improves patient experience with shorter wait times and fewer dropped calls.

News Resource: BusinessWire

Valley Children’s Hospital Uses AI to Enhance Pediatric Care

News Date: September 22, 2025

Valley Children’s Hospital in California is deploying AI innovations to improve care for more than 1.3 million children across its service area.

• Uses ambient documentation to reduce physician administrative burden.
• Applies AI tools like Epic CosmOS to aid diagnosis of rare diseases.
• Integrates genomic data to optimize medication therapies.
• Leverages large-scale clinical datasets for predictive insights.
• Reflects a broader shift toward AI-enabled personalized pediatric care.

News Resource: This Week Health

AI Model Maps Lifetime Disease Risks to Transform Future Healthcare Planning

News Date: September 18, 2025

Researchers introduced Delphi-2M, an AI model capable of predicting long-term disease trajectories across more than 1,000 conditions, enabling personalized healthcare planning.

• Uses large-scale datasets including UK Biobank and Danish health registries.
• Inputs include prior diagnoses, demographics, lifestyle factors, and BMI.
• Forecasts comorbidities, disease clusters, and timing of disease onset.
• Supports preventive healthcare strategies and synthetic data generation.
• Limitations include biases, missing data, and lack of causal interpretation.

News Resource: News-Medical

Stanford Researchers Introduce MedAgentBench for Healthcare AI Agents

News Date: September 16, 2025

Stanford University has launched MedAgentBench, a benchmark that evaluates AI agents in real-world healthcare scenarios using de-identified patient data.

• Designed by physicians with tasks covering labs, EHR updates, and documentation.
• Uses data from the STARR repository across 100 patient profiles.
• Tested models include GPT-4o, Claude 3.5 Sonnet, Gemini 2.0, and others.
• Models performed well in information retrieval but struggled in multi-step tasks.
• Provides a framework to ensure safety and reliability of AI in clinical workflows.

News Resource: MarkTechPost

Esaote Unveils AI-Enhanced Portable Cardiac Ultrasound at ESC 2025

News Date: August 29, 2025

Esaote Group, an Italian pioneer in medical imaging, will debut the MyLab ™ C30 cardio, a portable ultrasound system tailored for cardiology. Featuring the largest-in-class touchscreen and intuitive interface, it integrates AI-driven tools to significantly reduce exam time and enhance diagnostic confidence, even in complex, emergency settings. The system also introduces HeartScan Assistant, an AI-powered feature offering real-time guidance on view classification and image quality to aid clinicians, particularly those less experienced, in acquiring accurate transthoracic cardiac ultrasound images.

‍News Resource: healthcare-in-europe.com 

AI Tool Predicts Genetic Risk for Common Hereditary Diseases

News Date: August 29, 2025

A new AI model leverages over 1 million electronic health records to assign risk scores (0–1) to more than 1,600 rare genetic variants, predicting the likelihood of developing inherited diseases like breast cancer and polycystic kidney disease. By integrating routine clinical data with AI, the tool refines ambiguous genetic test results and aids physicians in determining appropriate prevention or screening interventions.

‍News Resource: Euronews

UNC Researchers Develop AI Chatbot for Reproductive Health

News Date: August 26, 2025

Researchers at the University of North Carolina have launched an AI-powered chatbot designed to provide accurate, confidential reproductive health information. The tool helps users navigate topics such as contraception, pregnancy, and sexual health by offering medically reviewed answers to sensitive questions.

The chatbot is intended to improve access to reliable resources, especially in areas where reproductive health services face restrictions. It ensures privacy for users who may be hesitant to seek information directly from healthcare providers.

The project reflects a growing trend of applying AI to enhance patient education and reduce barriers to essential health knowledge.

News Resource: WUNC

New AI Tool Enables Rapid Skin Cancer Diagnosis in Melbourne

News Date: August 27, 2025

Researchers in Melbourne have developed an AI system capable of diagnosing skin cancer in minutes by analyzing high-resolution images of skin lesions. The tool is trained on thousands of dermatology datasets to distinguish malignant growths from benign conditions with high accuracy.

The system aims to reduce waiting times for patients and ease pressure on dermatologists by enabling faster triage and earlier detection. Researchers believe it could be particularly impactful in regions with high skin cancer rates, such as Australia.

This innovation underscores AI’s potential to support preventive healthcare and expand diagnostic capacity in clinical practice.

News Resource: MobiHealthNews

Tufts Develops AI Method to Map How Tuberculosis Drugs Destroy Bacteria

News Date: August 25, 2025

Researchers at Tufts University have created an AI-powered method to visualize how tuberculosis (TB) drugs damage bacteria at the cellular level. By producing detailed “death portraits” that capture structural changes in TB cells, the system reveals the exact physical impact of therapeutics. This capability may guide the development of faster and more effective TB treatment regimens by enabling smarter combinations of drugs.

‍News Resource: Drug Target Review

NHS Pilots AI-Driven Discharge Summaries in London Hospital

News Date: August 16, 2025

Researchers at Chelsea and Westminster NHS Trust in London have launched a pilot program deploying an artificial intelligence tool designed to automatically extract information from medical records, such as diagnoses and test results, to generate discharge summaries.

The AI drafts these documents, which are then reviewed by clinicians, helping hospitals discharge patients more quickly and free up beds. Health Secretary Wes Streeting emphasized that this shift from analog to digital will reduce paperwork burdens on doctors and allow more time for patient care.

This initiative is housed within the NHS Federated Data Platform and is one of several AI-led government projects aimed at boosting productivity and improving public services.

‍News Resource: The Guardian

AI Shows Promise as Second Reader in Breast Cancer Screening

News Date: August 14, 2025

A study published in The Lancet Digital Health suggests that using AI as a second reader in breast cancer screening (alongside one human reader) can outperform conventional double‑reading by human radiologists alone.

Using Transpara v.1.7.0 (ScreenPoint Medical), researchers saw an 8.4 % increase in sensitivity and significantly more cancers, including interval and future‑detected tumors, being identified. Performance held steady across different breast densities, and the AI detected more invasive and larger tumors that human readers missed.

The findings highlight AI’s potential to improve early detection and address staffing shortages, although researchers call for careful arbitration between human and AI findings and further studies across diverse systems and datasets.

‍News Resource: AuntMinnie

New Medicare AI Model Aims to Curb Wasteful Health Spending

News Date: August 8, 2025

The Centers for Medicare & Medicaid Services (CMS) announced the Wasteful and Inappropriate Services Reduction (WISeR) Model, an AI-assisted pilot to streamline prior authorization for select outpatient services, like skin substitutes, nerve stimulator implants, and knee arthroscopy, in six states, including Texas. The program seeks to reduce unnecessary spending (estimated at up to $5.8 billion in 2022), though critics warn it may delay or deny essential care and erode Medicare’s traditional flexibility. Final authorization decisions will still rest with clinicians.

‍News Resource: MarketWatch 

Illinois Restricts AI Use in Mental Health Therapy through New Law

News Date: August 1, 2025 I

Illinois passed the Wellness and Oversight for Psychological Resources (WOPR) Act, making it one of the first U.S. states to specifically limit AI in mental health treatment. The law prohibits AI from providing therapy or making clinical decisions; only licensed professionals may perform therapeutic services. The move follows concerns over harmful outcomes from unregulated AI chatbots in mental health.

‍News Resource: Holland & Knight

UC San Diego’s AI Tool Enables Medical Image Segmentation with Dramatically Less Data

News Date: August 1, 2025

Researchers at UC San Diego have created an AI tool that significantly reduces the number of annotated images needed for medical image segmentation, by up to 20‑fold. This is particularly valuable in clinical settings where expert‑labeled data are scarce.

The tool works by generating synthetic image-mask pairs tailored to improve model learning and integrating them into a feedback loop that refines both data generation and segmentation performance. In tests across various tasks, including identifying skin lesions, breast cancer within ultrasound scans, placental vasculature, colon polyps, and 3D organ mapping, the AI achieved 10–20 % performance boosts over standard methods.

The approach promises faster, more affordable diagnostic tools, especially in resource-limited environments.‍

News Resource: UC San Diego Today

Stanford Develops AI “Virtual Scientist” Team to Accelerate Biological Research

News Date: July 29, 2025

Stanford Medicine researchers have built a “virtual lab”, an AI-powered ensemble of virtual scientists that includes a principal investigator (AI PI), specialist agents (e.g., immunology, computational biology, machine learning), and a critic agent to challenge hypotheses.

These AI agents collaborate, holding rapid, multi-threaded meetings, generating ideas, critiquing one another, to solve research problems. Their first major test involved designing nanobody-based strategies against SARS‑CoV‑2 variants.

The AI’s proposals were validated in the lab, demonstrating promising binding to the virus and stability. The virtual lab operates with minimal human intervention and could accelerate scientific discovery across biomedical domains.‍

News Resource: Stanford Medicine News Center

AI Predicts Tumor Stemness to Gauge Cancer Aggressiveness

News Date: July 21, 2025

Researchers are using AI to predict tumor stemness, a key indicator of cancer aggressiveness and recurrence risk.

• Analyzes genetic and molecular tumor data with AI models.
• Helps oncologists estimate tumor resistance and relapse potential.
• Enables precision treatment planning and patient stratification.
• Enhances clinical decision-making in oncology.

News Resource: healthcare-in-europe.com

Everlab Raises $10M to Scale AI-Powered Preventive Healthcare

News Date: July 21, 2025

Everlab has secured a $10 million seed round to expand its AI-driven preventive healthcare platform. The startup uses AI to generate personalized diagnostics, health alerts, and lifestyle plans based on continuous biomarker data. The round was led by Pear VC with participation from Quiet Capital. Everlab aims to bring predictive care into everyday health management.‍

News Resource: BusinessWire

MedTiles Uses AI to Revolutionize Medical Diagnostics

News Date: July 20, 2025

Portuguese startup MedTiles is transforming medical diagnostics through an advanced AI platform.

• Uses AI to analyze medical scans and identify conditions faster.
• Enables early and more accurate diagnosis for critical diseases.
• Focused on dermatology, radiology, and pathology.
• Plans to expand across European hospitals and clinics.

News Resource: theportugalnews.com

GHX Rolls Out New AI Tools for Healthcare Supply Chains

News Date: July 19, 2025

Global Healthcare Exchange (GHX) launched AI capabilities to improve supply chain efficiency in the healthcare sector.

• Predicts supply needs using demand forecasting and trend analysis.
• Minimizes inventory shortages and wastage.
• Improves logistics planning across hospitals and suppliers.
• Aims to cut operational costs and boost system-wide resilience.

News Resource: freightwaves.com

LeggUP Deploys AI Health Coach Avatars with Memory

News Date: July 18, 2025

LeggUP has introduced AI-powered health coach avatars with memory capabilities, designed to support personalized behavioral health and well-being.

• Delivers AI-driven mental wellness coaching tailored to individual progress.
• Avatars can "remember" previous interactions for continuity and personalization.
• Targets stress, burnout, and anxiety with AI-guided support.
• Aims to increase access to proactive mental health services globally.

News Resource: news10.com

AI Assists Patients in Fighting Insurance Denials

News Date: July 17, 2025

AI platforms are now helping U.S. patients challenge health insurance denials more efficiently, according to recent NBC reports.

• Automates claim analysis and appeals submission for patients.
• Reduces administrative burden and improves approval odds.
• Empowers patients with real-time insurance guidance and dispute tools.
• Enhances transparency in healthcare billing and coverage.

News Resource: nbcnews.com

Cardiac AI Tools Show Life-Saving Promise

News Date: July 15, 2025

AI solutions are showing potential in improving early detection and outcomes for cardiac events.

• Detects subtle patterns from ECG and imaging data.
• Flags early signs of heart disease and failure.
• Could reduce fatal heart attack rates with faster intervention.
• Backed by promising clinical trial results.

News Resource: healthcareitnews.com

AI Prepares Doctors for Virtual Urgent Care Visits

News Date: July 10, 2025

AI is being used to prep doctors ahead of virtual urgent care consults by streamlining case information and predicting needs.

• Summarizes patient histories and symptoms before the visit.
• Suggests possible diagnoses and next steps.
• Speeds up triage and clinical decision-making.
• Enhances virtual care efficiency for busy providers.

News Resource: healthcareitnews.com

Mediwhale Launches Retinal AI for Early Disease Detection

News Date: July 7, 2025

Mediwhale has developed an AI-powered platform that analyzes retinal images to detect heart, kidney, and eye diseases—replacing invasive diagnostics like blood tests and CT scans.

• Provides full-body health insights from simple eye scans.
• Deployed in hospitals across Dubai, Italy, and Malaysia.
• Enables early detection of silent or asymptomatic conditions.
• Reduces diagnostic delays and improves preventive care.
• Complements physician workflows with non-invasive tools.

News Resource: businessinsider.com

Isomorphic Labs’ AI-Designed Drugs Enter Human Trials

News Date: July 7, 2025

Isomorphic Labs, a DeepMind spinoff, has announced that its AI-designed drugs are set to enter human trials soon, a major milestone in AI-assisted pharmaceutical innovation.

• Uses AI to model protein interactions and design novel drugs faster than traditional methods.
• Streamlines preclinical testing and enhances the probability of clinical success.
• Reduces time-to-market by identifying effective compounds earlier in the discovery pipeline.
• Could revolutionize how we treat diseases like cancer and neurological disorders.
• Brings precision, speed, and data-driven insights to drug discovery at scale.

News Resource: hindustantimes.com

AI That Predicts Human Decisions With High Accuracy

News Date: July 6, 2025

A new AI model from EPFL (École Polytechnique Fédérale de Lausanne) mimics human decision-making with unprecedented accuracy, offering exciting applications in personalized medicine.

• Predicts individual choices by analyzing neural and behavioral patterns.
• Offers new ways to customize treatments based on patient decision profiles.
• Supports cognitive research and mental health diagnostics with AI explainability.
• Enhances doctor-patient communication by anticipating responses to care strategies.
• Opens new doors for ethical and human-centered AI in healthcare.

News Resource: scitechdaily.com

Pharma GCCs Use AI to Accelerate Drug Discovery

News Date: July 6, 2025

Pharmaceutical Global Capability Centers (GCCs) in India are leveraging AI to fast-track drug discovery and reduce R&D costs significantly.

• Employs AI models to analyze genomics, proteomics, and clinical data.
• Reduces early-stage research time by up to 50%.
• Enables high-throughput screening and molecular simulation at scale.
• Supports multinational drug pipelines with centralized AI analytics hubs.
• Encourages cross-collaboration between IT and bioscience teams.

News Resource: business-standard.com

Summit Therapeutics Partners with Akeso in $5B+ AI-Driven Immunotherapy Deal

News Date: July 6, 2025

Summit Therapeutics has entered into a landmark $5 billion+ licensing and collaboration agreement with Akeso Inc. to co-develop and commercialize the PD-1/VEGF bispecific antibody Ivonescimab, leveraging AI to enhance immunotherapy development.

• Uses AI to identify biomarker-driven responder populations for trials.
• Applies AI-powered imaging and modeling to optimize trial design and endpoints.
• Aims to accelerate development of next-gen cancer therapies.
• Targets non-small cell lung cancer and other solid tumors.
• Reinforces the growing role of AI in complex biologics and bispecifics.

News Resource: finance.yahoo.com

AI Model Accurately Detects Parkinson’s Disease

News Date: July 4, 2025

A new AI model showcased in Medscape shows high accuracy in detecting early Parkinson’s disease using brain imaging and cognitive patterns.

• Demonstrates >90% accuracy in identifying early motor and non-motor symptoms.
• Enables earlier intervention and more personalized treatment strategies.
• Could significantly improve long-term patient outcomes through timely care.
• Reduces dependency on invasive and expensive diagnostic procedures.
• Supports ongoing neurological monitoring using non-invasive data.

News Resource: medscape.com

University Hospitals Explore AI for Lung Cancer Outcomes

News Date: July 3, 2025

University Hospitals in Cleveland are studying the use of AI to improve lung cancer treatment outcomes and reduce disparities in patient care.

• Uses AI to analyze imaging, pathology, and EHR data for predictive modeling.
• Targets better detection of aggressive cancer types in underserved populations.
• Optimizes treatment plans through data fusion and pattern recognition.
• Aims to increase early diagnosis rates and survival metrics.
• Strengthens equity and precision in oncology care through AI support.

News Resource: cleveland19.com

Microsoft AI Diagnostic Orchestrator Outperforms Doctors

News Date: July 2, 2025

Microsoft has introduced the MAI-DxO platform, an LLM-powered diagnostic tool that achieves over 85% accuracy—far surpassing the average physician rate in case studies.

• Uses a “chain-of-debate” model with multiple AI agents.
• Analyzes clinical data to generate and test diagnostic hypotheses.
• Designed to support clinicians in complex decision-making.
• Sets new standards in accuracy and reasoning in medical AI.
• Still under research; not yet deployed for clinical use.

News Resource: Time.com

AI-Based Tool Enhances Kidney Transplant Prediction

News Date: July 1, 2025

According to a study in Nature Communications, an AI-based tool can now more accurately predict kidney transplant rejection risks than traditional methods.

• Analyzes thousands of immune markers to identify patterns missed by humans.
• Offers real-time, data-driven guidance on post-transplant care.
• Aims to reduce graft rejection rates and improve patient survival.
• Enhances clinicians’ ability to personalize immunosuppressive therapies.
• Marks progress in AI-powered predictive analytics for complex biological systems.

News Resource: nature.com

SandboxAQ Publishes 5.2 Million Synthetic Molecule Dataset

News Date: June 18, 2025

SandboxAQ, backed by Nvidia and spun out from Google, has released a public dataset featuring 5.2 million synthetic 3D molecular structures to accelerate AI-driven drug discovery.

• Enables AI models to better predict protein–drug binding early in development.
• Provides valuable training data far beyond naturally observed molecules.
• Aims to reduce reliance on expensive lab experiments.
• Publishes the data publicly while monetizing proprietary model innovations.
• Supports an open-science approach to AI-enhanced pharma research.

News Resource: Medpath.com

AIIMS Patna Integrates AI-Powered Devices to Enhance Patient Care

News Date: June 1, 2024

AIIMS Patna has partnered with the Ministry of Health and Family Welfare's e-health division to integrate AI-powered medical technologies aimed at advancing patient care.

• Procured advanced AI-enabled devices for diagnostics and treatment.
  
  
• AI improves diagnostic accuracy by recognizing patterns often missed by human practitioners.
  
  
• Orthopedic department introduces robotic surgeries, enhancing precision in procedures.
  
  
• Initiated AI-based tuberculosis screening across rural areas using mobile X-ray units and AI kits.
  
  
• Aims to reduce hospital crowding and improve healthcare efficiency.
  

News Resource: timesofindia.indiatimes.com

Diagnostics.ai Launches Transparent AI Platform for PCR Diagnostics

News Date: May 31, 2025

Diagnostics.ai has introduced a fully transparent machine learning platform designed for real-time PCR diagnostics, setting a new standard in AI-assisted healthcare tools. Unlike black-box models, this platform emphasizes clarity and traceability in decision-making.

• Clinicians can view how each diagnostic result is derived, boosting confidence and accountability.
  
  
• The platform is optimized for high-volume labs and supports rapid, reliable PCR testing.
  
  
• It ensures compliance with strict regulatory standards through interpretability.
  
  
• Aims to improve diagnostic accuracy while maintaining transparency in clinical environments.
  
  
• Bridges the gap between AI innovation and the trust required in medical settings.

News Resource: news-medical.net/news  

RFK Jr. Supports “AI Slop” Theory in Maha Health Report

News Date: May 30, 2024

Presidential candidate RFK Jr. has backed a controversial Maha Health report suggesting that low-quality AI-generated medical content, dubbed “AI slop,” is negatively impacting public health outcomes.

• Claims AI-generated misinformation affects decision-making and trust.
  
  
• Experts question the scientific rigor of the report.
  
  
• Highlights concerns over AI regulation in healthcare content.
  
  
• Sparks debate over quality control in AI-generated medical advice.
  
  
• Raises awareness about the risks of unchecked AI use in public health.

News Resource: theverge.com

New AI Test Helps Identify Prostate Cancer Patients Who Benefit from Abiraterone

News Date: May 30, 2025

Researchers have developed an AI-powered test that can predict which prostate cancer patients will respond well to abiraterone treatment. This advancement aims to personalize treatment plans and avoid unnecessary therapy.

• The test analyzes tumor characteristics to forecast drug efficacy.
  
  
• Helps clinicians tailor treatment, reducing exposure to ineffective medications.
  
  
• Improves patient outcomes by focusing on those who will truly benefit.
  
  
• Supports more efficient use of healthcare resources.
  
  
• A step forward in precision oncology through AI-driven decision-making.
  

News Resource: news-medical.net

AI-Powered Hearing Aids Reconnect Mainers to the Hearing World

News Date: May 30, 2025

In Maine, AI-powered hearing aids are transforming the lives of people with hearing loss by offering enhanced speech recognition and real-time sound optimization.

• Filters out background noise and focuses on speech clarity.
  
  
• Adapts to different environments for personalized sound experience.
  
  
• Users report improved communication and quality of life.
  
  
• Especially beneficial in social and public settings.
  
  
• Represents a major leap in accessible healthcare technology.
  

News Resource: newscentermaine.com

Google I/O 2025 Showcases Healthcare AI Innovations

News Date: May 30, 2025

At Google I/O 2025, Google unveiled next-gen healthcare AI tools including GenAI models for imaging interpretation, clinical documentation, and medical copilots for physicians.

• Introduced Gemini-based models for radiology and workflow automation.
• Demonstrated AI assistants that support doctors in real-time decision-making.
• Highlighted AI-powered documentation tools that integrate with EHRs.
• Showed potential to reduce burnout and improve care quality.
• Positioned Google Cloud as a leader in AI healthcare infrastructure.

News Resource: cloud.google.com

ElliQ: The AI Care Companion That Supports Aging-in-Place for Seniors

News Date: May 16, 2025

ElliQ, developed by Intuition Robotics, is an AI-powered care companion designed to help older adults live independently while staying mentally and emotionally engaged. It offers proactive wellness support and companionship.

• Initiates daily check-ins, medication reminders, and physical activity prompts.
  
  
• Uses natural language processing to engage in meaningful conversations.
  
  
• Reduces loneliness and cognitive decline among aging populations.
  
  
• Seamlessly integrates with caregivers and healthcare providers.
  
  
• Promotes healthier aging through AI-enhanced daily routines.
  

News Resource: Forbs

DSP‑0038: AI‑Designed Alzheimer’s Candidate Enters First Human Trial

News Date: May 13, 2025

Pharma researchers have fast‑tracked DSP‑0038, an AI-discovered serotonin receptor modulator for Alzheimer’s psychosis, from target identification to Phase I in just one year.

• Combines 5‑HT1A agonism with 5‑HT2A antagonism in a novel molecule.
• Highly accelerated timeline compared to typical 4–6 years.
• Demonstrates real-world impact of AI in psychiatric drug design.
• Validates AI’s role in identifying high‑value brain‑penetrant compounds.
• Marks a milestone for neurology-focused AI drug pipelines.

News Resource: europeanpharmaceuticalreview.com

ReportAid Raises €2.2M to Tackle Fragmented Healthcare Data with AI

News Date: May 6, 2025

ReportAid, a Dutch healthtech startup, has secured €2.2 million in funding to streamline European healthcare data using artificial intelligence. The platform focuses on solving the continent’s fragmented data and reporting infrastructure.

• Uses AI to generate compliant, structured medical reports from unstructured data.
  
  
• Aims to enhance efficiency and data standardization across European hospitals.
  
  
• Backed by Curie Capital and other investors.
  
  
• Supports cross-border healthcare improvements through better data flow.
  
  
• Addresses a key pain point in healthcare digitization.
  

News Resource: htworld.co.uk

Orli Secures £60,000 to Develop AI Coaching for Caregivers

News Date: March 26, 2024

Orli, a UK-based health tech startup, has raised £60,000 in pre-seed funding from Bethnal Green Ventures to develop its AI-powered coaching tool for unpaid caregivers.

• Focuses on providing emotional and practical support via AI-based conversations.
  
  
• Addresses the mental health and burnout challenges faced by caregivers.
  
  
• Early-stage funding to build MVP and conduct pilot testing.
  
  
• Supports an underserved segment in the healthcare ecosystem.
  
  
• Combines empathy, wellness, and AI for social impact.
  

News Resource: ukinvestormagazine.co.uk

Silna Health Secures $2.7M to Advance AI-Powered Women’s Health Platform

News Date: March 25, 2025

Silna Health, a startup focused on women’s health, has raised $2.7 million in funding to scale its AI-powered platform designed to improve diagnostics and care for under-researched women’s health issues.

• Offers AI-driven symptom analysis and virtual consultations.
  
  
• Targets conditions like endometriosis, PCOS, and menstrual disorders.
  
  
• Investors include Nina Capital and emerging healthtech backers.
  
  
• Promotes early detection and personalized care pathways.
  
  
• Expands access to affordable, gender-focused digital health solutions.

‍News Resource: Businesswire.com

Superpower Acquires Base to Enhance AI Doctor App with Nutrition Data

News Date: April 23, 2025

Superpower, an AI health startup, is expanding its personalized AI doctor app by acquiring Base, an at-home lab testing company specializing in diet analysis.

• Follows Superpower's $30 million Series A funding and previous acquisition of women's health startup Feminade.
  
  
• Aims to develop an AI-driven health "super app" integrating lab tests, medical records, and wearables.
  
  
• Provides personalized nutrition, sleep, and hormone optimization plans reviewed by human care teams.
  
  
• Acquisition accelerates Superpower's food-as-medicine capabilities while reducing clinical R&D costs.
  
  
• Exploring partnerships with employers to widen access to the $500 annual membership service.
  

News Resource: forbes.com.au 

Heidi Health Raises AU$16.6M to Advance AI Clinical Scribes

News Date: March 10, 2025

Heidi Health, an Australia-based healthtech startup, has secured AU $16.6 million in Series A funding to expand its AI-powered clinical-scribe technology, which automates note-taking between patients and physicians.

• Automates medical documentation during consultations in real time.
• Reduces admin workload and lets doctors focus more on patients.
• Deployed across multiple international clinics and practices.
• Supports interoperability with major electronic health records.
• Enhances clinical efficiency with accurate AI-generated summaries.

News Resource: thesaasnews.com

WHO Announces New Centre for AI in Health Governance

News Date: March 6, 2025

The World Health Organization (WHO) has launched a Collaborating Centre on AI for Health Governance to shape global standards for the safe and ethical use of AI in healthcare.

• Located at the University of Global Health Equity in Rwanda.
  
  
• Will focus on data governance, algorithm transparency, and regulatory policy.
  
  
• Aims to help countries adopt AI while minimizing risk.
  
  
• Ensures equitable AI access and protects patient rights.
  
  
• Part of WHO’s broader digital health and ethics initiative.

News Resource: who.int

London Startup Launches UK’s First Conversational AI Wearable

News Date: Feb 25, 2025

TSA member Birdie, a London-based digital health startup, has unveiled the UK’s first conversational AI wearable—a wristband that enables proactive, real-time care for older adults.

• Allows users to talk directly to an AI assistant via the device.
• Supports medication reminders, wellness checks, and emergency alerts.
• Integrates with caregiver platforms for continuous remote monitoring.
• Designed to support aging-in-place with dignity and autonomy.
• Marks a defining moment for proactive, AI-enabled elder care in the UK.

News Resource: tsa-voice.org.uk

Aidoc Receives FDA Clearance for AI-Powered Rib Fracture Triage

News Date: Feb 19, 2025

Aidoc has received FDA clearance for its latest AI algorithm that detects and prioritizes rib fractures in trauma patients, expanding its suite of radiology triage tools.

• Uses AI to analyze CT scans and flag suspected rib fractures.
• Helps trauma teams prioritize critical cases faster.
• Integrates directly into hospital radiology workflows.
• Reduces delays in diagnosing often-overlooked injuries.
• Marks the 14th FDA-cleared algorithm in Aidoc’s aiOS platform.

News Resource: mobihealthnews.com

Avandra Launches with $17.75M to Advance AI on Real-World Medical Data

News Date: Feb 18, 2025

Avandra, a new startup spun out of Evidation Health, has launched with $17.75 million in funding to harness AI for extracting insights from real-world, messy medical datasets—unlocking better drug development and patient care.

• Uses AI to analyze unstructured, incomplete, and longitudinal health data.
• Aims to modernize real-world evidence (RWE) infrastructure for life sciences.
• Helps pharma companies understand patient outcomes beyond clinical trials.
• Bridges the gap between clinical research and real-world practice.
• Backed by investors like GE Ventures and McKesson Ventures.

News Resource: businesswire.com

AI-Powered Digital Therapeutics Transform Parkinson’s Neurocare

News Date: Feb 1, 2025

A new wave of AI-powered digital therapeutics is revolutionizing neurocare for Parkinson’s disease by offering real-time symptom tracking and adaptive therapy support.

• Uses AI to tailor therapy based on patient behavior and progression.
  
  
• Enhances patient engagement and long-term care outcomes.
  
  
• Reduces caregiver burden through predictive alerts and guidance.
  
  
• Integrates with wearable devices and mobile platforms.
  
  
• Helps neurologists optimize treatment plans more efficiently.
  

News Resource: Ramaonhealthcare.com

Quibim Raises $50M to Advance AI Imaging Biomarker Technology

News Date: Jan 28, 2025

Quibim, a Spanish medical imaging company, has secured $50 million in a Series A funding round to accelerate the development of its advanced imaging biomarker technology.

• Specializes in AI-powered radiology workflows and predictive imaging models.
  
  
• Developed QP-Prostate and QP-Brain software, with regulatory clearances including CE and FDA 510(k).
  
  
• Collaborated with Microsoft to develop virtual biopsies using AI.
  
  
• Partnered with Philips to integrate AI-based imaging solutions for MR prostate exams.
  
  
• Funding aims to expand global market presence and enhance precision medicine technologies.
  

News Resource: medcitynews.com 

Tempus Unveils Olivia: AI Assistant for Precision Oncology Workflows

News Date: Nov 9, 2024

Tempus has introduced Olivia, a virtual AI assistant built to streamline clinical workflows in oncology. Olivia is designed to help healthcare providers manage complex cancer care with increased speed and intelligence.

• Supports case reviews, treatment planning, and genomic insights.
  
  
• Integrated directly into oncologists’ EMR systems and care platforms.
  
  
• Reduces administrative burden, enabling more focus on patient care.
  
  
• Leverages Tempus' vast clinical and molecular database.
  
  
• Enhances precision oncology with real-time AI-powered assistance.
  

News Resource: tempus.com

HIPAA-Compliant AI-Backed Customer Support for Healthcare: Crescendo.ai

Crescendo.ai is redefining patient communication with its fully HIPAA-compliant, AI-powered customer support platform built specifically for the healthcare industry. It ensures both efficiency and privacy while enhancing the overall patient experience.

• HIPAA-Compliant by Design: All conversations, voice, chat, or email, are fully encrypted and compliant with healthcare data privacy regulations.
• Healthcare-Specific Use Cases: Handles appointment scheduling, insurance queries, prescription follow-ups, and post-care instructions with precision.
• AI with Empathy: Offers natural, human-like conversations tailored to each patient’s needs, reducing anxiety and improving satisfaction.
• Multilingual & Omnichannel: Supports 50+ languages and works seamlessly across web, mobile, and phone for 24/7 accessibility.
• Smart Triage & Routing: Instantly prioritizes and routes complex cases to human staff, improving workflow efficiency and resolution times.
• EHR & CRM Integration: Easily integrates with leading healthcare systems for context-aware support and streamlined operations.

With Crescendo.ai, healthcare organizations can scale support without compromising trust, compliance, or the quality of care. Book a demo to explore more.

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