Sep 30, 2025

Alexander Hammer presents latest findings on trustworthy AI at the European Society of Cardiology (ESC) Congress in Madrid and the Computing in Cardiology (CinC) Conference in São Paulo

Computing in Cardiology 2025 — Alexander Hammer and Dr. Martin Schmidt (from right to left) at the Computing in Cardiology (CinC) Congress in São Paulo, Brazil.

The Biosignal Processing Group was represented by Alexander Hammer with a talk and an ePoster presentation at the Computing in Cardiology (CinC) conference (São Paulo, Brazil) and the European Society of Cardiology (ESC) Congress (Madrid, Spain). New findings were presented, such as how trustworthy AI models as part of diagnostic support systems can contribute to reliable diagnostics in cardiology. Dr. Martin Schmidt was involved in the program committee and as session chair at CinC.

Our contributions in detail:

ESC-Kongress Madrid — Präsentation auf dem ESC-Kongress in Madrid (Spanien).

ESC ePoster: "Explainable and interpretable AI visualises self-learned clinically relevant ECG characteristics of rhythm and morphology paving the way for trustworthy diagnostic support" by Alexander Hammer, Florian Haensch, Linus Seliger, Hagen Malberg, Axel Linke, Martin Schmidt. Abstract is available here.
CinC talk: "Transfer Learning to Focus Self-Learning AI on Rhythm Improves Interpretability in Atrial Fibrillation Detection" by Alexander Hammer, Matteo Zannini, Hagen Malberg, Martin Schmidt. Abstract is available here.