Refresher Course: Imaging Informatics and Artificial Intelligence

RC 305 - Quality control and post-market surveillance of AI medical software

February 26, 11:30 - 12:30 CET

5 min
Chairperson's introduction
15 min
Post-market surveillance of software as a medical device
  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.
15 min
How to confirm the effectiveness and safety of the use of AI medical software?
  1. To learn how the safety and performance of 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.
15 min
An example of quality control of AI applications in imaging
  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.
10 min
Panel discussion: How to implement quality control and post-market surveillance of AI tools in daily practice?