Latest News On AI In Healthcare & Medicine | Page 2

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Stay on top of health updates organized by posting date.

04 Jun 2026

Wayne State University secures patent for AI system that detects surgical bleeding in real time

Wayne State University and RediMinds Inc. received U.S. Patent No. 12,635,098 B2 for technology that uses machine learning and computer vision to detect arterial bleeding during surgery. The system displays bleeding sources through augmented reality overlays, helping surgeons respond quickly during robotic and laparoscopic procedures across over 9,000 U.S. hospital systems.

2 Sources

03 Jun 2026

New smartwatch tracks blood pressure continuously without a cuff using physics and AI

Researchers from the University of Utah and University of Illinois Chicago developed a cuffless smartwatch that monitors blood pressure and blood flow continuously throughout the day. The wearable device uses electrical bioimpedance and physics-informed machine learning to track cardiovascular health during daily activities, offering a potential alternative to traditional cuff-based monitors.

2 Sources

Microsoft and Mayo Clinic Partner to Build Frontier AI Model for Healthcare Transformation

Microsoft and Mayo Clinic announced a strategic collaboration to develop a frontier AI model specifically designed for healthcare. The partnership combines Mayo Clinic's clinical expertise and de-identified patient data with Microsoft's AI and cloud capabilities. The model aims to support earlier diagnoses, personalized treatment decisions, and better patient outcomes while addressing healthcare's most challenging problems.

4 Sources

01 Jun 2026

Nearly 1 in 5 Young People Turn to AI Chatbots for Mental Health Advice, New Study Reveals

A new RAND study published in JAMA Pediatrics finds that 19% of adolescents and young adults now use AI chatbots like ChatGPT for mental health support—an estimated 8 million individuals. The figure jumped from 13% in early 2024, with over 60% keeping their AI use secret from parents and professionals. Experts warn about the dangers of unregulated AI therapy.

6 Sources

Remote AI algorithm detects Critical View of Safety in pediatric surgery across hospitals

Researchers in Argentina demonstrated that a remotely deployed AI algorithm can reliably detect the Critical View of Safety during live pediatric laparoscopic cholecystectomy. The system streamed surgical video 21 kilometers via Zoom, identified anatomical structures in real time, and achieved perfect agreement with expert surgeons—all without requiring on-site AI hardware at the operating location.

2 Sources

Online Resources on AI and Cancer Fail Quality Standards, Leave Patients Without Guidance

New research presented at the 2026 ASCO Annual Meeting reveals that online information about AI and cancer is largely low quality and difficult to understand. Only one in three webpages met quality standards, with most written at college reading level despite recommendations for 6-8th grade accessibility. Just 15 percent of resources mentioned AI hallucination risks, leaving cancer patients vulnerable to misinformation.

2 Sources

29 May 2026

Tempus AI stock surges as company launches open-source digital pathology initiative

Tempus AI shares jumped 9.55% following the launch of the IMS Open-Source Consortium, a first-of-its-kind digital pathology initiative with Yale New Haven Hospital and Memorial Sloan Kettering Cancer Center. The company also expanded its Next platform to cover six new cancer types and presented multimodal foundation model results trained on 2.5 million patient records at ASCO 2026.

3 Sources

AI-powered atlas reveals how tertiary lymphoid structures predict cancer treatment outcomes

Researchers at MD Anderson Cancer Center developed the first comprehensive spatial atlas of tertiary lymphoid structures across 12 cancer types, using AI to analyze over 25,000 immune structures. The study shows that TLS maturation state, spatial location, and composition provide critical insights into cancer prognosis and treatment response, outperforming conventional biomarker measures.

2 Sources

Drexel University study reveals bond paradox in AI mental health tools used by millions

A Drexel University study analyzing over 4 million Reddit posts found that while nearly half of U.S. adults use AI chatbots for mental health support, most view them as supplements to human therapy. The research uncovered a critical bond paradox: AI tools help with practical tasks, but deep emotional bonds without clear goals correlate with dependence, worsening symptoms, and difficulty disengaging.

2 Sources

28 May 2026

AI model reveals hidden sign of puberty in routine heart tests, tracking child maturity patterns

Wake Forest University researchers developed an AI-based tool that reads routine ECG data to track biological development in children and adolescents. The Electrocardiographic Sex Index analyzes over 60,000 heart tests, revealing how electrical patterns change predictably as kids mature—offering researchers a precise developmental measure without needing hormone data or puberty staging.

3 Sources

22 May 2026

AI Tool Analyzes Bone Marrow Slides to Personalize Multiple Myeloma Treatment for Newly Diagnosed Patients

Researchers at Sylvester Comprehensive Cancer Center developed an AI-based tool that identifies immune-related signals in routine bone marrow biopsy slides to predict which newly diagnosed multiple myeloma patients will benefit most from specific therapies. The GigaTIME model analyzed 212 patients and found those with low CD16 levels had significantly better outcomes with daratumumab-based treatment.

2 Sources

21 May 2026

AI foundation models show promise for universal eye care but face real-world deployment barriers

A systematic review published in Advances in Ophthalmology Practice and Research examines how AI foundation models are shifting ophthalmology from single-purpose algorithms to flexible systems that connect images, clinical language, and patient data. Models like RETFound and VisionFM demonstrate strong diagnostic performance across multiple eye diseases, but challenges including algorithmic bias, limited interpretability, and insufficient clinical validation must be addressed before widespread adoption.

2 Sources

20 May 2026

Rutgers University uses AI to measure pain through facial micromovements and heart rhythms

Researchers at Rutgers University developed an AI-powered method to measure pain by tracking invisible facial micromovements and heart rate variability. The study challenges traditional subjective pain scales by offering objective data for patients who cannot verbally express discomfort, including young children, stroke survivors, and individuals with dementia.

2 Sources

14 May 2026

Ontario Audit Reveals AI Medical Scribes Hallucinate Patient Info, Miss Critical Health Details

An Ontario audit found all 20 government-approved AI medical scribes generated incorrect or fabricated information during testing. Nine systems hallucinated nonexistent patient details, 12 recorded wrong medication names, and 17 missed mental health issues—raising serious concerns about patient safety despite 5,000 doctors already using these tools.

3 Sources

Anthropic and Gates Foundation commit $200 million to expand AI for public good in health, education

Anthropic and the Gates Foundation announced a four-year, $200 million partnership to deploy AI in underserved regions. The initiative targets global health improvements, vaccine development for neglected diseases, and educational outcomes in sub-Saharan Africa and India, addressing concerns that AI could widen inequality.

2 Sources

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