Why 'Clinician in Loop' Fails AI Safety
Mayo Clinic experts argue that the 'clinician in the loop' model for AI oversight in healthcare unfairly shifts safety responsibility from developers to overburdened doctors, leading to automation bias, alert fatigue, and moral distress. Through examples like thyroid nodule detection, they critique regulatory endorsements by FDA, EU, and WHO, proposing an alternative where AI acts as a background adviser supporting clinician-patient alliances, backed by three pillars: enterprise accountability, institutional governance, and clinical stewardship.