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Article

Identification of Digital Twins to Guide Interpretable AI for Diagnosis and Prognosis in Heart Failure

2024-11-11

Abstract excerpt

<h4>Summary</h4> <h4>Background</h4> Heart failure (HF) is a highly heterogeneous and complex condition. Although patient care generates vast amounts of clinical data, robust methods to synthesize available data for individualized management are lacking. <h4>Methods</h4> A mechanistic computational model of cardiac and cardiovascular system mechanics was identified for each individual in a cohort of 343 patients w...

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Literature Corpus work
15b962e4-d956-57e5-b66d-f0f81dce47b8
DOI
10.1101/2024.11.11.24317106
Open publication

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Identification of Digital Twins to Guide Interpretable AI for Diagnosis and Prognosis in Heart FailureDOI 10.1101/2024.11.11.24317106
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