
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.
Discover the newest research about AI innovations in Research.

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.

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.

Regulators are shifting from paper-based approvals to live-fire testing in actual clinics.

A new deep learning model turns cheap, blurry brain scans into high-contrast maps, helping doctors spot stroke damage faster and agree on treatment.

Hospitals are drowning in imaging volumes, but buying new CT scanners to improve image quality is a financial non-starter for most struggling health systems.