Summary
Joint Health Sciences Authority-Ministry of Food and Drug Safety principles for designing and conducting clinical trials of ML‑enabled medical devices. Covers study design, dataset considerations, performance endpoints, drift/updates during trials, and transparency of algorithms.
Healthcare Implications
Provides practical expectations for sponsors and investigators running machine learning-enabled medical device trials in Asia. Hospitals participating in such trials can align protocols, monitoring, and change‑management to the guidance.