The S.A.M. Model: A Framework for Safe, Supervised AI‑Assisted Medicine

The S.A.M. Model (Supervised Autonomous Medicine) proposes a safety‑first framework for integrating artificial intelligence and robotic instrumentation into surgical practice without removing human oversight. The system combines large‑scale virtual simulation, post‑mortem learning, similarity‑based pattern recognition, and real‑time multi‑layer monitoring to create a fault‑tolerant, surgeon‑supervised medical environment. AI functions exclusively as a predictive monitor, robots provide precision execution, and surgeons retain full authority and responsibility at all times. The model outlines a complete training pipeline, operational structure, safety architecture, and economic rationale for a 24/7, high‑consistency surgical system designed to reduce human error while preserving ethical and clinical governance.