Summary
Final IMDRF guiding principles for good machine learning practice in medical device development. The document identifies high-level principles for developing, validating, monitoring, and managing machine-learning-enabled medical devices across the product lifecycle, building on earlier FDA, Health Canada, and MHRA GMLP principles.
Healthcare Implications
Provides medical-device developers, regulators, and health systems with a globally harmonized reference for AI/ML device quality, data management, model development, evaluation, monitoring, and lifecycle governance. It supports safer and more consistent development of AI-enabled medical devices used in diagnosis, monitoring, treatment support, and clinical workflow.