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ECG-SENNsation: Trustworthy 12-Lead ECG Classification by Self-Explaining Neural Networks for Clinical Decision Support and Knowledge Discovery

2025-11-12

Abstract excerpt

<title>Abstract</title> <p> Background: Deep learning models show promise for detecting cardiovascular diseases in electrocardiograms (ECGs), but their black-box nature hinders clinical adoption. Current explainable AI (xAI) only provides approximate explanations for the models' decision-making. However, reliable explanatory heatmaps are essential for meaningful, AI-assisted ECG analysis, optimizing resources in...

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Literature Corpus work
e744488f-cc37-52df-962f-fde7102d158c
DOI
10.21203/rs.3.rs-7989818/v1
Open publication

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ECG-SENNsation: Trustworthy 12-Lead ECG Classification by Self-Explaining Neural Networks for Clinical Decision Support and Knowledge DiscoveryDOI 10.21203/rs.3.rs-7989818/v1
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