AI Validation (HITL)
Human-in-the-Loop AI in Healthcare: Why Pure Automation Fails
Human-in-the-Loop (HITL) AI in healthcare embeds board-certified clinicians into model training, synthetic dataset auditing, and real-time inference routing to prevent clinical silent failures. Pure automation fails because deep learning models overfit to spurious site correlations, miss rare long-tail pathologies, and generate biologically implausible synthetic cases. Integrating clinical experts as continuous validators enforces diagnostic safety, algorithmic explainability, and FDA SaMD compliance.
