AI Theatre Session: Interoperability

AI-SC 9 - Post-market surveillance and quality assurance of AI tools

Lectures

1
Chairpersons' introduction

Chairpersons' introduction

02:00Elmar Kotter, Freiburg Im Breisgau / DE, Nilaykumar Patel, Vienna / AT

2
Intention and concept of post-market surveillance

Intention and concept of post-market surveillance

12:00Hugh Harvey, Banstead / UK

3
Why PMS? Comparison of 3 AI lung nod detection systems

Why PMS? Comparison of 3 AI lung nod detection systems

12:00Sarah Katharina Herber, Mainz / DE

4
Solution overview on monitoring

Solution overview on monitoring

12:00Sergey Morozov, Brussels / BE

5
Discussion with the audience: Post-market surveillance: How much do we need?

Discussion with the audience: Post-market surveillance: How much do we need?

22:00Discussion with the audience: Post-market surveillance: How much do we need?

2 min
Chairpersons' introduction
Elmar Kotter, Freiburg Im Breisgau / Germany
Nilaykumar Patel, Vienna / Austria
12 min
Intention and concept of post-market surveillance
Hugh Harvey, Banstead / United Kingdom
  1. To learn what the medical device regulations in the EU mandate in regard to manufacturer responsibilities for PMS.
  2. To appreciate the burden placed on hospitals to assist manufacturers in conducting PMS effectively.
  3. To understand practical systems for managing AI post market surveillance.
12 min
Why PMS? Comparison of 3 AI lung nod detection systems
Sarah Katharina Herber, Mainz / Germany
  1. To learn how AI-based tools support lung nodule reporting, with particular strengths in detection and longitudinal follow-up.
  2. To appreciate the limitations of histopathological assessment for pulmonary nodules and how AI can complement, but not replace, current diagnostic pathways.
  3. To understand the clinical implications and future potential of AI-supported lung reporting, including workflow integration, patient management, and potential outcome improvement.
12 min
Solution overview on monitoring
Sergey Morozov, Brussels / Belgium
  1. To learn the fundamentals and techniques of continuous AI monitoring.
  2. To appreciate the variability and utility of objective and subjective metrics.
  3. To understand the practical approach to clinical AI monitoring.
22 min
Discussion with the audience: Post-market surveillance: How much do we need?

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