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SHOWING 4 OF 410 STORIES
ISSUE 359EVENING

Healthcare, Evidence Retrieval, Japanese Language Models, Clinical Judgment, Medical Literature and AI Evaluation

Japan put a local-language model inside a doctor's evidence search. Accuracy is not clinical judgment

Sakana AI's October 9 case study explains how Aillis uses Namazu to synthesize medical literature. The citations are useful. The boundary between finding a paper and treating a patient is more useful still.

#healthcare#evidence#japan
ISSUE 047EVENING

Medical AI and Evidence Search

OpenEvidence turned thinking time into a clinical setting

Doctors can choose an answer in five seconds, a deeper search in thirty, or a five-minute literature investigation. The most capable model remains behind a research gate.

#healthcare#models#evidence
ISSUE 029EVENING

Healthcare and Human Control

Human oversight can improve medical AI dramatically, or quietly derail it

A study of medical-agent fault points finds that well-timed guidance can lift diagnostic accuracy while bad guidance nudges the same system toward drift and uncertainty.

#healthcare#human-control#evaluations
ISSUE 014EVENING

Healthcare and Public Data

A clinician can search PubMed, FDA data, Medicare, and trials from one conversation

OpenAI connected nine authoritative public healthcare systems to eligible ChatGPT and Codex workspaces, with a bright line around patient records.

#healthcare#public-data#grounding