AI-SC 5 - AI in large-scale radiology screening: opportunities, challenges, and future directions
Lectures
1
Chairperson's introduction
05:00Kostas Marias, Heraklion / GR
2
Panel discussion
45:00Valeria Panebianco, Rome / IT, Colin Jacobs, Nijmegen / NL, Elmar Kotter, Freiburg Im Breisgau / DE, Manisha Bahl, Cambridge / US
3
Q&A: Screening automation, risk or opportunity?
10:00Q&A: Screening automation, risk or opportunity?
5 min
Chairperson's introduction
Kostas Marias, Heraklion / Greece
45 min
Panel discussion
Valeria Panebianco, Rome / Italy Colin Jacobs, Nijmegen / Netherlands Elmar Kotter, Freiburg Im Breisgau / Germany Manisha Bahl, Cambridge / United States
To evaluate the role of AI in population-based screening and to discuss how AI improves early disease detection in large cohorts, including cost-effectiveness and workflow optimization.
To address challenges in AI implementation and to examine barriers such as data diversity, regulatory hurdles, and integration into existing healthcare systems.
To showcase clinical validation studies and present evidence on AI performance in real-world screening settings, including multicenter trials.
To highlight emerging technologies (e.g., federated learning, multimodal AI) and strategies for global adoption.
10 min
Q&A: Screening automation, risk or opportunity?
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