AI and healf

Pennsylvania sues Character AI over its chatbot allegedly impersonating a psychiatrist, raising concerns about AI in healthcare and unlicensed medical advice under the Medical Practice Act.

JMIR Publications today released a timely new feature in its News and Perspectives section, providing one of the first comprehensive overviews of the rapidly expanding consumer health AI landscape.

Researchers used AI to analyze whole-body MRI scans from more than 66,000 participants to create the most detailed reference map to date of how fat and muscle are distributed in the human body across age, sex and height.

AI has aced medical exams, but there's a wide gap between tests and the real world. A new study suggests the divide is closing. The post An AI Just Beat Doctors at Diagnosing ER Patients appeared first on SingularityHub.

The AI market is full of big promises of grand transformation. Health care is a prime target for those promises, beset as it is by financial pressures, labor shortages, and the growing burden of caring for an aging population. AI developers are targeting functions that vary widely, from curing cancer and performing surgery to streamlining…

A survey of more than 600 Canadian physicians finds that virtually all have had to intervene to prevent harm after a patient followed misleading health information online.

An investigation found Kenya’s AI-driven health insurance system is overestimating poor households’ incomes, forcing many into higher premiums they cannot afford.

Flinders University experts are warning that artificial intelligence (AI) must be carefully evaluated and governed before it is adopted widely in healthcare, saying rapid advances do not automatically translate into safe use for patients.

AgentClinic is a multimodal benchmark that tests clinical AI agents in simulated, dialogue-driven diagnostic settings rather than static medical question-answer formats. The study found that model performance varied sharply by tool use, language, bias, image handling, and patient-agent interactions, highlighting the need for more realistic AI evaluation before clinical deployment.

JMIR Publications today featured two new stories in its News and Perspectives section, highlighting a shift toward proactive, tech-integrated health monitoring.

The Obesity Medicine Association’s interactive tool was designed to help clinicians practice real-world obesity-care discussions ‘grounded in science and compassion.’

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Psychiatric disorders affect millions worldwide, but their diagnosis still relies on clinical observation instead of standard biological tests.

A new type of chatbot could reliably help people decide what to do about their symptoms - and do so based on guidance that is both medically sound and easy to understand.

FRIDAY, April 24, 2026 — The eyes are the windows not only to the soul, but also to a person’s health, a new study says.Premature aging of the retina could be a red flag for major diseases like diabetes or heart disease, researchers recently rep...

I don’t need to tell you that AI is everywhere. Or that it is being used, increasingly, in hospitals. Doctors are using AI to help them with notetaking. AI-based tools are trawling through patient records, flagging people who may require certain support or treatments. They are also used to interpret medical exam results and X-rays. A…

APOLLO is a multimodal temporal foundation model trained on 25.2 billion medical events from 7.2 million patients across 33 years of Mass General Brigham records, integrating 28 medical modalities into unified “virtual patient representations.” Across 322 downstream tasks, the model showed strong performance in disease prediction, treatment-response stratification, hospital operations, and patient retrieval, supporting the idea of more computable, data-driven medicine.

The Keck School of Medicine of USC and Keck Medicine of USC have launched collaborations with Tempus AI, Inc., a technology company at the forefront of applying AI to precision medicine, to integrate clinical care, clinical trials and research through a unified framework.

Doctors remain among the most trusted professionals in society — but AI is entering the consultation room, often without patients' knowledge.

TUESDAY, April 21, 2026 — "Do I really need chemotherapy?" "Is this natural remedy safer?""Does eating sugar cause cancer?"As more people turn to artificial intelligence (AI) for quick answers to health questions like these, a new study finds the a...

Widespread inaccuracies in AI chatbot health responses pose public health risks, highlighting the urgent need for better oversight and cleaner training data.

Abi has had very mixed results when asking a chatbot for guidance about her health issues.

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer (NSCLC), according to a study presented at the American Association for Cancer Research (AACR) Annual Meeting 2026, held April 17-22.

Researchers analyzed more than 500,000 de-identified Microsoft Copilot health conversations from January 2026 and found that health information queries were most common, while nearly one in five conversations involved personal symptoms or condition-related concerns. They also found that personal health queries were more common on mobile and at night, while desktop use was more often tied to research, paperwork, and academic support, highlighting how people use AI differently across contexts.

AI is a great tool for small, well-defined tasks, but maintain a healthy skepticism and avoid falling down a rabbit hole.

Researchers audited five popular public-facing AI chatbots across 250 health prompts and found that 49.6% of responses were problematic, with especially weak performance on open-ended questions and in nutrition and athletic performance. The study also found poor citation quality, difficult readability, and very few refusals to answer, raising concerns about the reliability of chatbots for everyday health information.

Turns out a lot of people would rather ask an AI about their symptoms than pay for a doctor's visit. A new survey puts some striking numbers behind that trend.

Months after a lawsuit against a San Diego health system, another class action alleges two more California health systems used Abridge’s AI tool to record patient visits without consent.

WEDNESDAY, April 15, 2026 —For many patients with sickle cell disease, a trip to the emergency room has an unwanted side-effect: In their search for relief from agonizing pain, they are often dismissed as drug-seekers. A new study from the U...

A BMJ Open study found that five leading AI chatbots often returned flawed health advice, with open-ended questions triggering the worst answers and citation quality falling apart under scrutiny.

A study of nine AI chatbots found hallucination rates from 0% to 34%, with Grok 3 worst and Perplexity Research most reliable.

AI use in clinical care raises unresolved liability questions, with clinicians retaining responsibility as evolving technology and legal frameworks continue to blur accountability.

A team of Weill Cornell Medicine investigators is working to cross-train the next generation of cancer researchers in cancer biology and the use of artificial intelligence tools for research.

As the AI era becomes increasingly shaped by foundation models, the pharmaceutical industry is entering a new phase of opportunity for discovery, design, and decision-making driven by AI for science.

Meta’s new Muse Spark AI encourages users to upload health data but still produces unreliable and potentially harmful advice.

This year, executives from nearly every major health insurance company made the same declaration in calls with Wall Street analysts: Using artificial intelligence to make coverage decisions would help save them money.

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

The NR3C1 (nuclear receptor subfamily 3 group C member 1) gene encodes the glucocorticoid receptor (GR), a nuclear receptor vital for maintaining physiological homeostasis, and inhibition of NR3C1 could increase the sensitivity of cancer cells to standard chemotherapy, particularly in ovarian cancer.

Llama is out; Muse Spark is in. Meta has unveiled its rebooted AI efforts with a new model it calls Muse Spark. Unlike Anthropic’s Claude Mythos Preview announcement yesterday, Muse Spark is actually available publicly today. Meta is also taking on the top Gemini and ChatGPT models with a new Contemplating mode that it says will roll out gradually. more…

Google wants to help you find mental health support more easily

Modern AI models can create convincing descriptions of images that were never given to them — a phenomenon researchers call a "mirage."

TUESDAY, April 7, 2026 — The number of Americans who want artificial intelligence (AI) involved in their health care is declining, a new survey says.Only 42% are open to AI being used as part of their care, down from 52% in 2024, according to the p...

Graz University of Technology, the University of Graz and the Medical University of Graz have jointly developed an interactive system that automatically adapts evidence-based medical information to patients' prior knowledge and needs.

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. There are more AI health tools than ever—but how well do they work?  In the last few months alone, Microsoft, Amazon, and OpenAI have all launched medical chatbots.  There’s a clear demand…

Explore how AI is transforming health insurance in the US, raising legal and ethical questions about patient care and oversight.

Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medical records and ask specific questions about their health. A couple of days earlier, Amazon had announced that Health AI, an LLM-based tool previously restricted to members of its One Medical service, would…

Discover the future of pet safety with SATELLAI. From 5-way GNSS satellite tracking to PetSense AI health analysis, these smart collars offer precision and peace of mind for every dog and terrain.

Integrating LLMs in brain tumor care could enhance patient understanding, but requires strict oversight to manage risks and ensure reliable information.

While gastroenterology patients generally support AI as an assistive tool, they prioritize physician oversight and transparency.

TUESDAY, March 24, 2026 — Folks who rely on chatbots for their scientific and medical info, be forewarned — artificial intelligence (AI) gets a "D" when it’s asked to evaluate whether a claim is true or false, a new study says.ChatGPT’s accuracy in...

Upcoming spacewalks at the ISS focus on infrastructure upgrades, while AI and augmented reality research enhances medical care in microgravity environments.

A Stanford study finds AI chatbots sometimes enable violent or self-harm thoughts in rare cases, exposing gaps in crisis response and raising concerns about how safe these tools are for emotional support. The post AI mental health risks exposed as chatbots sometimes enable harm appeared first on Digital Trends.

Perplexity Health connects your lab results, prescriptions, and wearable data in one place, giving you health answers that are backed by real medical sources. The post Perplexity unveils Perplexity Health, an AI tool to transform your scattered medical data into health insights appeared first on Digital Trends.

Following yesterday’s Comet iOS browser release, Perplexity is back with another AI announcement: Perplexity Health. The new “suite of connectors” includes integration with Apple Health, Perplexity says. more…

It'll even analyze your lab results to deliver personalized recommendations. But here's what you need to know first.

Fitbit is adding medical record integration, smarter sleep tracking, and glucose insights, aiming to turn its app into a more personalized health companion with AI guidance based on real user data. The post Fitbit improves sleep tracking and adds an AI coach that uses your medical history appeared first on Digital Trends.

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a

Google has pulled the plug on a “What people suggest” feature in Search that would use AI to summarize health tips from real users on Reddit and other communities online. more…

The healthcare industry is undergoing a digital transformation, and one of the most significant innovations is the rise

A new Garmin Chat Connector could let users talk to AI assistants like ChatGPT about their fitness data from Garmin Connect. The post You will soon be able to talk extensively about your Garmin health data with an AI appeared first on Digital Trends.

When an AI system in health care gives a confident answer, should clinicians trust it? In a new

FRIDAY, March 13, 2026 — Microsoft is rolling out a new artificial intelligence (AI) tool designed to help people manage their health.The feature, called Copilot Health, works inside the company’s Copilot app and can provide personalized health adv...

By Jimmy Joseph Medical billing rarely makes headlines, yet it sits at the center of how healthcare systems

A prospective feasibility study in an urgent care clinic tested a conversational AI system (AMIE) with 100 real patients to evaluate whether it could safely collect medical histories before doctor visits. The supervised AI showed no safety stops, produced diagnostic reasoning comparable to clinicians in blinded reviews, and improved patients’ attitudes toward medical AI.

Microsoft's Copilot Health brings together your health records, wearables, and lab results in one place, turning confusing data into personalized, actionable insights. The post Microsoft reveals Copilot Health, an AI to make sense of your wearable and medical reports appeared first on Digital Trends.

AI may not be the threat to human-centered care some fear. Experts say its impact will depend largely on how healthcare systems choose to deploy it.

esearchers developed MedVersa, a generalist multimodal AI model trained on tens of millions of medical imaging instances to perform diverse radiology tasks within a single framework. The model matched or exceeded specialist AI systems across several benchmarks and produced radiology reports comparable to human reports in many cases while improving reporting efficiency.

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring structural vibrations using diffractive optical processors. This new technology uses artificial intelligence to co-optimize a passive diffractive layer and a shallow neural network, allowing the system to encode time-varying mechanical vibrations into distinct spatiotemporal optical patterns.

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Emma-Louise Amanshia speaks to Anya Aggarwal, a mental health clinician who helps people using the Wysa AI chatbot.

CAR T cell therapy has revolutionized the treatment of many blood cancers, but has shown little success against solid tumors, which account for over 85% of all cancers.

This post is brought to you in paid partnership with Petlibro We spend a significant amount of time optimizing our own health: tracking our sleep, monitoring our heart rates, and dialing in our nutrition. But when it comes to our pets, we’re usually left guessing. Cats, in particular, are notorious for hiding pain or illness […] The post How Petlibro is using AI to catch feline health issues early appeared first on Digital Trends.

Your smart ring just got a gynecologist (sort of). Key Takeaways: Oura has stepped into new territory with

Oura announced its first proprietary AI model delivering personalized women’s health guidance using biometric data and clinician-reviewed medical research. The post Oura’s smart ring AI promises more personalized women’s health support appeared first on Digital Trends.

Artificial intelligence (AI) is rapidly transforming healthcare and medical education. From enhancing diagnostic accuracy and clinical decision-making to enabling virtual simulations and personalized learning, AI technologies are becoming embedded in the daily practice of clinicians and trainees.

When you ask Oura Advisor a women's health question, its proprietary AI will respond - but only if you have this feature enabled.

Artificial intelligence (AI) is rapidly transforming health care and medical education. From enhancing diagnostic accuracy and clinical decision-making to enabling virtual simulations and personalized learning, AI technologies are becoming embedded in the daily practice of clinicians and trainees.

A virtual assistant powered by AI supervised by a cardiologist can offer guideline-directed medical therapy optimization after hospitalization for heart failure with reduced ejection fraction.

Advantech, a global leader in embedded and Internet of Things (IoT) solutions, will showcase its latest healthcare AI innovations at the HIMSS 2026 Global Health Conference & Exhibition, March 9–12, 2026, in Las Vegas, Nevada.

As members of the public increasingly turn to AI with health concerns, University of Birmingham researchers are leading a global programme to build the first definitive guide for safely navigating health information on AI powered chatbots.

Researchers tested whether generative AI could handle complex medical datasets as well as human experts. In some cases, the AI matched or outperformed teams that had spent months building prediction models. By generating usable analytical code from precise prompts, the systems dramatically reduced the time needed to process health data. The findings hint at a future where AI helps scientists move faster from data to discovery.

According to a new report, Meta is renewing plans to release a smartwatch, but with a slightly shifted focus over to health tracking and Meta AI. more…

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial intelligence (AI) tool that can analyze a standard electrocardiogram (ECG) to identify patients with repaired tetralogy of Fallot who may be at risk for harmful heart changes typically detected by cardiac MRI.

People with ulcerative colitis (UC), a chronic inflammatory bowel disease, are up to four times more likely to develop colorectal cancer than the general population.

When alerts misfire or can’t explain themselves, nurses still carry the risk

When a patient shared the story of her sister’s death, an AI captured the clinical details—freeing physician Christopher Sharp to just be present

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Experts question whether ChatGPT Health meets the standards for clinical validation and regulatory compliance in Europe and beyond.

People who follow health advice from artificial intelligence platforms and search results are five times more likely to experience harm than those who do not.

Oxford researchers find that using AI to make medical decisions presents a risk to patients.

Medical artificial intelligence (AI) is often described as a way to make patient care safer by helping clinicians manage information. A new study by the Icahn School of Medicine at Mount Sinai and collaborators confronts a critical vulnerability: when a medical lie enters the system, can AI pass it on as if it were true?

For centuries, work with donated bodies has shaped anatomical knowledge and medical training.

Bloomberg reports that Apple has recently scaled back its plans for the Project Mulberry initiative following a leadership shakeup at the company’s health organization. Here are the details. more…

A large language model identified patients ineligible for thrombolysis with nearly 95% sensitivity.

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide a response.

A new artificial intelligence tool can identify whether a patient is ready for colonoscopy by simply analyzing stool images that they take on their smartphones.

University researchers have pioneered a new tool to determine the risk of secondary heart attacks in cancer patients using Artificial Intelligence.