Vorsitz: U. Bavendiek (Hannover), C. A. Perings (Lünen)
| (V2023) | Deep learning based prediction of 3-year atrial fibrillation incidence from 1-lead ECGs | |
| J. P. Bremer, M. Neyazi, M. Knorr, J. Brederecke, F. M. Ojeda Echevarria, S. Blankenberg, R. Schnabel (Hamburg) | ||
| Diskussion | ||
| (V2024) | Role of microtubules in preserving the dynamic nanostructure of cardiomyocytes | |
| J. Greiner, D. Kaltenbacher, T. Kok, P. Kohl, E. Rog-Zielinska (Freiburg im Breisgau) | ||
| Diskussion | ||
| (V2025) | Predicting Cardiovascular Risk Factors from Facial and Full Body Photography using Deep Learning | |
| M. Knorr, M. Neyazi, J. P. Bremer, J. Brederecke, F. M. Ojeda Echevarria, F. Ohm, M. Augustin, S. Blankenberg, N. Kirsten, R. B. Schnabel, für die Studiengruppe: HCHS (Hamburg) | ||
| Diskussion | ||
| (V2027) | Development and Validation of a Machine Learning Model to Aid Discharge Processes for Intensive Care Patients in the Cardiac Intensive Care Unit - A Novel Artificial Intelligence-Based Algorithm | |
| T. Thevathasan, F.-J. Krause, F. Balzer, U. Landmesser, C. Skurk (Berlin) | ||
| Diskussion |