
Three flagship AI models fail breast cancer diagnosis
Hiring a commercial AI to read breast cancer biopsies does not just introduce errors; it forces clinicians to choose which specific flavor of diagnostic failure they can tolerate.
Discover the newest research about AI innovations in Research.

Hiring a commercial AI to read breast cancer biopsies does not just introduce errors; it forces clinicians to choose which specific flavor of diagnostic failure they can tolerate.

A massive new funding round proves that health systems are ready to delegate daily clinical tasks to supervised AI agents.

Automated translation of complex radiology scans can finally bypass the medical jargon barrier, but only if radiologists remain the ultimate gatekeepers.

A routine test that costs pennies can now spot hidden heart failures before symptoms even appear.

A new study shows that off-the-shelf language models can reconstruct complex patient histories from messy clinical notes without manual human labeling.

A newly cleared neuromodulation system shifts PTSD treatment from trial-and-error pharmacology to personalized brain mapping.

A new clinical trial shows that while generative AI catches more blood clot risks than human doctors, its tendency to miss narrative details means it cannot fly solo.

Healthcare systems are trapped in a loop of localized technology trials that never actually scale.

An agentic AI system reviewed hospital readmissions as accurately as human doctors for a fraction of the cost, but the real revelation is how much clinicians disagree with each other.

An overlooked hormonal condition drives millions of hypertension cases, but a new algorithmic approach could finally bring it into the light.