Article

Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainability

2024-08-23

Abstract excerpt

<title>Abstract</title> <p>Deep learning (DL) has demonstrated high accuracy in ECG analysis but lacks in explainability. Although explanations can be estimated using explainable artificial intelligence, their causality has not yet been sufficiently investigated. We present a generalizable method for extensively validating the DL explanations’ causality by relating them to clinically relevant ECG characteristics....

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Literature Corpus work: 73374b6f-39fa-56cf-9b78-26bb210d3810
DOI: 10.21203/rs.3.rs-4655592/v1

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