99 articles
AI is set to transform drug discovery and medical diagnosis in 2026, cutting development timelines and helping clinicians catch diseases faster.
AI medical errors trigger more lawsuits than physician mistakes alone, but hospitals can protect trust by keeping doctors visibly in control of AI.
AI for disease prevention is massively underfunded despite outperforming treatment in health gains, according to a new Fedcap white paper urging urgent.
The FDA is reviewing an AI tool to predict drug-induced liver injury, while hospitals adopt governance frameworks and pediatric centers bring generative.
88% of UK medical students recognize AI's importance in healthcare, yet most receive no formal training to use these tools safely.
Healthcare AI jobs are exploding with the market projected to hit $180 billion by 2030, creating thousands of high-paying roles faster than they can be.
Leading medical schools are shifting AI from administrative tasks to clinical decision-making, with new systems pairing doctors and AI for safer diagnoses.
The UK will launch an AI sandbox to test drug safety tools, aiming to prevent 250,000 annual hospital admissions from adverse reactions.
New AI lab at UT Medical Branch tackles healthcare's biggest hurdle: making doctors trust AI predictions through interpretable multimodal systems.
Medical schools are now teaching AI alongside surgery as doctors like UAB's first AI-medicine dual graduate prepare for technology-driven healthcare.
Physical therapists are using AI as thinking partners to boost patient adherence and reduce clinical bias, not replace human expertise.
Doctors could face full legal liability for AI medical errors under current UK law, prompting urgent calls to shift responsibility to AI developers.
The UK has months, not years, to accelerate AI adoption in life sciences or risk losing its scientific leadership to foreign competitors.
ASUS and researchers are building AI systems that coordinate sensing, clinical decisions, and care delivery across hospitals.
New AI system detects eye disease from 3D retinal scans with 43-60 more cases found per 1,000 people screened than previous methods.
AI diagnostic tools are outpacing decades-old regulations, forcing FDA, Medicare, and AMA to scramble with new coding, pricing, and fraud rules.
OrthAlign's new portable surgical navigation system brings precision joint replacement to ambulatory centers without robotic surgery costs.
Philips and WellSpan Health launch AI-powered platform to transform community healthcare across Central Pennsylvania and Northern Maryland.
Binghamton University researchers eliminated AI medical misinformation using seven chatbots that vote on answers after checking authoritative databases.
Children's National Hospital and Virginia Tech launch a dedicated AI innovation hub to address the fact that kids represent just 2.4% of AI research.
Nuclear medicine is expanding from hospitals to community clinics with AI-powered imaging and new radiopharmaceuticals driving a $30.7B market by 2034.
While 74% of patients trust AI health answers, 77% of doctors validate them against other sources, revealing a critical gap in healthcare AI adoption.
AI is reducing missed cancer diagnoses by 7% and compressing drug development from years to weeks, transforming hospital operations worldwide.
Cognitive scientist argues AI reshapes thinking from brain-only activity to distributed intelligence across people, tools and systems.
Two AI giants partner to create aging-focused foundation models targeting the $5.3 trillion longevity market with predictive healthcare capabilities.
Healthcare AI fails due to poor hospital integration, not algorithm performance, with successful tools saving clinicians 2+ hours daily on documentation.
AI-powered voice analysis can detect intoxication in real-time from speech patterns alone, targeting a $47 billion workplace safety market and potentially...
AI oncology tools are projected to grow from $5.4B to $49.5B by 2036. A major shift is underway: companies are mining routine pathology diagnoses for drug...
Stanford's AI-powered heart health app found that personalized messages generated by artificial intelligence outperformed advice from human health experts at...
A Harvard study found AI diagnosed emergency patients 67% accurately versus 50-55% for human doctors, but experts warn the technology works best as a second...
Researchers are using AI and robotics to automate iPS cell cultivation, reducing variability and costs while enabling personalized medicine at scale.
The NCI is shifting cancer research from isolated data repositories to AI-powered knowledge systems, partnering with ARPA-H to harmonize patient data across...
AI systems are now analyzing tumor tissue at a microscopic level to predict which cancer patients will respond to specific treatments, potentially transforming...
GE HealthCare and DeepHealth expand collaboration to bring AI-powered breast cancer detection globally, with studies showing 21% higher cancer detection rates...
AI partnerships between tech giants and pharmaceutical companies are accelerating drug discovery by years, reshaping how researchers identify targets and...
AI excels at diagnosis, but a Stanford study reveals current systems fail at healthcare's biggest cost driver: administrative workflows.
Researchers found that AI health tools trained on Western medicine show significant accuracy drops when answering medical questions from Africa, revealing how...
Medical AI systems are hitting a critical wall: they can't access continuous patient histories.
Healthcare AI companies are moving away from single-purpose tools toward comprehensive platforms that integrate clinical data, drug discovery, and diagnostics.
Researchers developed MedChat, an offline AI system that conducts patient interviews without sending data to the cloud, addressing privacy concerns in...
AliveCor's new handheld 12-lead ECG uses AI to detect 35 cardiac conditions in seconds, weighs just 0.3 pounds, and cuts acquisition time by 30%.
A new Gallup survey reveals 25% of Americans use AI for health information, but 14 million skip provider visits based on AI advice.
AI algorithms can detect coronary artery calcium in millions of routine chest CT scans, flagging heart disease risk early.
A major study of 3,807 AI health startups reveals a stark funding gap: two-thirds of investment flows to diagnostics and drug discovery, while mental health...
Governments worldwide are creating regulatory pathways for AI healthcare tools. South Korea, the UK, and Singapore are funding commercialization, testing, and...
NVIDIA's Isaac GR00T foundation model teaches surgical robots to learn complex procedures through simulation, potentially standardizing outcomes and reducing...
AI has accelerated drug discovery timelines by 30-40%, yet no AI-discovered drug has received FDA approval.
A new AI platform built by a mom whose daughter has a rare genetic disorder is automating the 53 hours per week families spend managing care, while helping...
An FDA-cleared AI algorithm detects cardiac amyloidosis from standard ECGs with 78.9% sensitivity, catching a life-threatening condition doctors often...
New research reveals AI diagnostic cues function as a dominant decision-making shortcut in mature US markets but remain underutilized in emerging markets like...
