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Mr Alexander Hammer

Dresden University Of Technology, Dresden (Germany)

Member of:

European Society of Cardiology

Explainable and interpretable AI visualises self-learned clinically relevant ECG characteristics of rhythm and morphology paving the way for trustworthy diagnostic support

Event: ESC Congress 2025

Topic: Deep Learning

Session: Smart ECGs: bridging technology and cardiovascular care

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An explainable AI for trustworthy detection of atrial fibrillation on reduced lead ECGs in mobile applications

Event: ESC Congress 2024

Topic: Artificial Intelligence

Session: Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis

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