Professional Challenges: Shaping our Professional Future Session
HF 1 - Assessing AI: A platform approach
Lectures
1
Chairpersons' introduction
03:00Christoph Wald, Rochester / US, Susan Cheng Shelmerdine, London / UK, Yan Chen, Nottingham / UK
2
ACR Assess-AI: a nationwide perspective of PMS
12:00Laura Brink, Reston / US
3
deepcOS: an infrastructure-led platform approach to PMS
12:00Julia Moosbauer, Munich / DE
4
Academic perspective on post-market surveillance
12:00William Mayo-Smith, Boston, MA / US
5
Q&A
21:00Q&A
3 min
Chairpersons' introduction
Yan Chen, Nottingham / United Kingdom
Christoph Wald, Rochester / United States
Susan Cheng Shelmerdine, London / United Kingdom
Christoph Wald, Rochester / United States
Susan Cheng Shelmerdine, London / United Kingdom
This session will introduce the development of large‑scale national post‑deployment surveillance for radiology AI tools and outline the practical challenges that arise when such surveillance is implemented at scale. It will highlight the key metrics that can be collected effectively as part of post-deployment surveillance and address the needs of academic AI developers to monitor performance when scaling up.
12 min
ACR Assess-AI: a nationwide perspective of PMS
Laura Brink, Reston / United States
12 min
deepcOS: an infrastructure-led platform approach to PMS
Julia Moosbauer, Munich / Germany
12 min
Academic perspective on post-market surveillance
William Mayo-Smith, Boston, MA / United States
21 min
Q&A