AI in Medicine Cuts Errors but Risks New Unseen Mistakes

AI adoption in radiology, clinics, and labs is reducing certain medical errors, but over-reliance may introduce novel errors that are hard for physicians to detect. The piece highlights a trade-off between efficiency gains and new failure modes, though it lacks specific incident data or regulatory context.