What it means:
This topic focuses on how manufacturers identify, investigate, document, and report complaints involving AI-enabled medical devices.
AI devices create some unique complaint scenarios. For example:
- AI gives an incorrect diagnosis or recommendation.
- The algorithm produces inconsistent results.
- Model performance decreases after deployment.
- A software update changes clinical performance.
- Bias causes poorer performance for a particular patient population.
- The device generates an incorrect alert or fails to generate an expected alert.