Refresher Course: Imaging Informatics and Artificial Intelligence
RC 305 - Quality control and post-market surveillance of AI medical software
Lectures
1
Chairperson's introduction
05:00Kicky Gerhilde Van Leeuwen, De Bilt / NL
2
Post-market surveillance of software as a medical device
15:00Shahriar Islam, London / UK
3
Post-market monitoring in the AI Act
15:00Emilia Niemiec, Copenhagen / DK
4
An example of quality control of AI applications in imaging
15:00Federica Zanca, Leuven / BE
5
Panel discussion: How to implement quality control and post-market surveillance of AI tools in daily practice?
10:00Panel discussion: How to implement quality control and post-market surveillance of AI tools in daily practice?
5 min
Chairperson's introduction
Kicky Gerhilde Van Leeuwen, De Bilt / Netherlands
15 min
Post-market surveillance of software as a medical device
Shahriar Islam, London / United Kingdom
- To learn about the need for post-market surveillance.
- To understand how to perform post-market surveillance on AI applications.
- To learn how to establish a fruitful industry-hospital collaboration for post-market surveillance of AI tools.
15 min
Post-market monitoring in the AI Act
Emilia Niemiec, Copenhagen / Denmark
- To learn what the AI Act is.
- To understand the legal requirements for post-market monitoring.
- To learn about practical challenges related to the AI Act's requirements.
15 min
An example of quality control of AI applications in imaging
Federica Zanca, Leuven / Belgium
- To learn about a possible approach for real-time tracking of AI applications.
- To learn about operational and clinical key performance indicators for tracking selected AI applications.
- 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?