healthcare

Research team at Macau University of Science and Technology is developing AI-driven early-warning systems that detect weak disease signals earlier, speed up cancer diagnosis, and support more precise treatment decisions across cancer, aging, vision, and women's health.

How to Build a Clinical Trial Search App in 5 Minutes - Clinical Trials API Tutorial Rahul Ban Rahul Ban Rahul Ban Follow May 24 How to Build a Clinical Trial Search App in 5 Minutes - Clinical Trials API Tutorial # programming # tutorial # freeapi # healthcare 1 reaction Comments Add Comment 6 min read

Building AI tools for healthcare is one of the most rewarding spaces in tech right now, but it's also a minefield of unique workflow hurdles. Many developers enter this market thinking that building a helpful medical tool is as simple as combining a standard transcription API wrapper with an LLM prompt to summarize conversation text. However, if you talk to clinicians—especially specialists like …

Hi DEV Community, I wanted to share a project I've been working on called AI Doctor Notes. It’s an app built specifically to solve a common problem: walking out of a doctor's visit and completely forgetting the instructions, medication steps, or follow-up details. Unlike generic voice-recording or transcription tools, this app focuses heavily on user privacy and specialized workflows tailored for…

Amid federal changes affecting the U.S. Preventive Services Task Force (USPSTF) and growing uncertainty about evidence-based preventive care recommendations, researchers at the George Washington University Milken Institute School of Public Health are highlighting the importance of the Affordable Care Act's preventive services guarantee for millions of Americans.

A proof-of-concept JAMA Internal Medicine study found that widely available AI models could deliver many guideline-concordant CPR instructions in simulated out-of-hospital cardiac arrest scenarios. A purpose-built AI agent, ChatCPR, achieved higher checklist-based adherence than baseline AI models and dispatcher-assisted CPR instructions, but prospective real-world validation is still needed.

Richard Eltringham and Barbara Riddell point to the decline in general practice as the reason why people are turning to AI for health advice. Plus a letter from Dr Katie Baker Your report ( One in seven in UK prefer consulting AI chatbots to seeing doctor, study finds, 13 May ) will no doubt be greeted with the usual hand‑wringing about the decline of human connection in healthcare. But the more …

Journal of Computer Science, Published online: 20 May 2026; doi:10.3844/jcssp.2026.1539.1551 In clinical decision-making, the ability to ask visual questions about medical images and receive accurate, personalized, and interpretable recommendations can significantly enhance practitioner suppo...

IntroductionArtificial intelligence (AI) adoption in predictive healthcare risk analytics can transform clinical decision-making and resource management; however, its implementation is limited by various socio-technical challenges.MethodsThis study aims to identify and prioritize the key barriers influencing AI adoption using an integrated Decision-Making Trial and Evaluation Laboratory (DEMATEL)…

Scientific Reports, Published online: 20 May 2026; doi:10.1038/s41598-026-45993-1 Thyroid disease detection using enhanced extreme learning machine based on drop-connect method

Decision paralysis and confirmation bias can present major barriers to effective communication in healthcare. Odessa Sawyer, MSW, Program Coordinator at the Center, describes how these barriers work and how partnerships with community organizations can alleviate many of these barriers. The Center for Practical Bioethics. The post Communicating Health Barriers and Solutions to Decision Paralysis a…

A federal appeals court recently restricted access to the most commonly used medication abortion drug – Mifepristone -- via mail before the Supreme Court temporarily restored broader access while it considers the case, leaving the ultimate outcome uncertain and leaving the public unsure and anxious. We explores the many ways instability in access to the drug creates avoidable harms and, ultimatel…

Exclusive: People from deprived and minority ethnic backgrounds have better access to device than for previous technologies The rollout of a “life-changing” artificial pancreas on the NHS for people with type 1 diabetes has helped to narrow ethnic and socioeconomic inequality within access to treatment, according to figures. Officially known as a hybrid closed-loop system, an artificial pancreas …

A brief research report reviewed the prior authorization rules for Aetna, Humana, and UnitedHealthcare and found little consistency in their prior authorization rules.

The Centers for Medicare and Medicaid Services (CMS) should reform Medicare Advantage to protect patient health and realign the plan option with its original purpose, says the American College of Physicians (ACP).

Fujitsu Limited and IBM Japan, Ltd. today announced the formalization of a collaboration within the healthcare domain, building on considerations first announced in September 2025.

Humanities and Social Sciences Communications, Published online: 14 May 2026; doi:10.1057/s41599-026-07605-1 A comparative topic modeling analysis of AI policies in healthcare: insights from China, the United States, and the European Union

Revolutionizing Healthcare: AI and ML Powering Diagnosis and Beyond with ML Kit and Med-Gemma The healthcare landscape is undergoing an unprecedented transformation, driven by the relentless march of artificial intelligence (AI) and machine learning (ML). From accelerating drug discovery to refining diagnostic accuracy and personalizing patient care, AI/ML is moving beyond theoretical promise int…