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Unveiling AI-ECG using Generative Counterfactual XAI Framework

2024-09-30

Abstract excerpt

<h4>Background</h4> The application of artificial intelligence (AI) to electrocardiograms (ECGs) has shown great promise in the screening and diagnosis of cardiovascular diseases, often matching or surpassing human expertise. However, the “black-box” nature of deep learning models poses significant challenges to their clinical adoption. While Explainable AI (XAI) techniques, such as Saliency Maps, have attempted t...

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Literature Corpus work: 5afdd22a-c7d1-5894-b7f4-be3f5fa8fc20
DOI: 10.1101/2024.09.29.24314144

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