Predicting Diabetes Ten Years Before It Starts
An algorithm that spots diabetes risk a decade early could solve a massive bottleneck in preventive healthcare—if health systems actually know how to act on the data.
Eye twitches help algorithms spot Parkinson’s disease
Tiny, involuntary eye movements captured without head restraints can train algorithms to flag early Parkinson's disease.
The Illusion of AI Time Savings
A new pilot reveals that AI's biggest benefit to overworked doctors might be psychological rather than actual minutes saved.
Local AI structures prostate cancer biopsy reports
A new study shows that small, locally hosted AI models can clean up messy clinical text better than expected, without risking patient privacy.
AI eye screening cuts diabetic blindness disparities
Moving diagnostic tools directly into primary care clinics can bypass the systemic barriers that historically leave minority patients underserved.
AI cuts spine surgeon interview times by third
A new clinical pilot shows that letting an AI interview patients before they see a surgeon slashes consultation times while actually improving data quality.
A Simple Coding Error Threatens Sepsis AI
A widespread programming oversight in clinical algorithms means AI could recommend the wrong sepsis treatment nearly half the time.
AI detects anemia using lip photos
A new deep learning model diagnoses anemia from lip photos far better than experienced emergency room doctors.
How Insurers Will Value Healthcare AI
The battle for medical AI adoption is no longer about clearing regulatory hurdles; it is about getting paid.
AI Agents Push Through Bad Medical Approvals
AI browser agents designed to automate medical insurance approvals are so eager to finish the job that they submit incomplete patient files they know are flawed.