Programmdetails - 92. Jahrestagung der Deutschen Gesellschaft für Kardiologie

Keynote Session

Künstliche Intelligenz

Donnerstag, 9. April | 16:00 - 17:30 | Saal 6

Vorsitz/Chair: Raffi Bekeredjian (Stuttgart), Alper Öner (Leverkusen)

Agenda

16:00
Comparison of the Diagnostic Performance of Traditional Troponin-Based Predictive Models and explainable ML-Models in different patients subgroups presenting with suspected AMI
16:10
Diskussion
16:15
Machine learning-based ECG analysis enables differentiation between cardiomyopathies with a hypertrophic phenotype
16:25
Diskussion
16:30
Development of an automated, reliable, and clinically meaningful AI tool for diagnosing cardiac disease from conventional CMR images
16:40
Diskussion
16:45
AI-Driven Extraction of Clinical Parameters From Medical Free Text: Evaluation of Large Language Models on Real-World Cardiology Data
16:55
Diskussion
17:00
Keynote Lecture: State-of-the-Art
17:20
Diskussion