Clinical artificial intelligence applies machine learning and other AI methods to work connected with patient care. Uses can include clinical documentation, decision support, risk prediction, image analysis and the organization of medical information for clinicians.
Clinical AI operates in a high-stakes setting where a plausible output can still be harmful if it omits a symptom, invents a diagnosis or misses a clinician's decision. Safe systems need domain-specific evaluation, current medical guidance, expert oversight and monitoring after deployment.
