Who pays when Diagnostic AI fails?
The integration of artificial intelligence (AI) into clinical workflows has fundamentally rewritten the rules of diagnostic medicine. Machine learning models regularly outperform elite human clinicians in specialized tasks, from identifying early-stage oncological abnormalities to predicting acute cardiovascular events. However, when these predictive algorithms operate as “black boxes”, that is, systems whose internal neural layers, weightings, […]
Game-Changing Ruling: May v. Google Reshapes Corporate Risk in Online Scams.
