Human governance of AI: principles, boundaries, and a human-in-the-loop model for clinical data decisions
Responsible adoption: how to train, measure, and scale without losing traceability (ATR: Audit Trail Review, RBQM: Risk-Based Quality Management, quality, and ethics)
Practical architecture: rules + ML + agentic AI for clinical data review—what to automate vs. what to keep human
