
AI finds hidden prostate cancer risk on biopsies
A new AI tool reveals that many prostate cancers upgraded during active surveillance were actually mischaracterized from the very start.
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A new AI tool reveals that many prostate cancers upgraded during active surveillance were actually mischaracterized from the very start.

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.

Tiny, involuntary eye movements captured without head restraints can train algorithms to flag early Parkinson’s disease.

A new pilot reveals that AI’s biggest benefit to overworked doctors might be psychological rather than actual minutes saved.

A new study shows that small, locally hosted AI models can clean up messy clinical text better than expected, without risking patient privacy.

Moving diagnostic tools directly into primary care clinics can bypass the systemic barriers that historically leave minority patients underserved.

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 widespread programming oversight in clinical algorithms means AI could recommend the wrong sepsis treatment nearly half the time.

A new deep learning model diagnoses anemia from lip photos far better than experienced emergency room doctors.

The battle for medical AI adoption is no longer about clearing regulatory hurdles; it is about getting paid.