What should a clinician know before relying on an AI recommendation?
A clear explanation of a prediction is useful, but it does not establish that the system works for this patient population or clinical task. Medical-device guidance treats transparency as a wider question about intended use, performance, and limitations. The puzzle is how explanation and evidence of suitability should inform professional judgment together.
Questions you could explore
- What would you want to know about the people and conditions used to test the system?
Start reading
- FDA, Health Canada, and MHRATransparency for Machine Learning-Enabled Medical Devices: Guiding Principles
Separates an explanation of a model’s logic from information about its intended use, performance, and limits.
Ready to try your ideas aloud?
Your topic carries over. Record up to 2½ minutes, depending on your plan.