RC 605 - Quality control and post-market surveillance of AI medical software

1. To learn about the need for post-market surveillance.
2. To understand how to perform post-market surveillance on AI applications.
3. To learn how to establish a fruitful industry-hospital collaboration for post-market surveillance of AI tools.

1. To learn how the safety and performance of an AI software are defined following the MDR.
2. To understand how to identify key performance indicators to assess safety and performance in clinical settings.
3. To review examples of safety and performance metrics of clinically in-use AI tools.

1. To learn about a possible approach for real-time tracking of AI applications.
2. To learn about operational and clinical key performance indicators for tracking selected AI applications.
3. To learn about typical errors related to AI applications implemented in clinical settings.