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Physics-Informed AI Surrogates for Simulation-Driven Cardiac Digital Twins from Clinical MRI: Fibrosis-Driven Arrhythmia Prediction Across Five Cardiac Pathologies

2026-05-06

Abstract excerpt

<title>Abstract</title> <p> <bold>Background:</bold> Cardiac digital twins enable patient-specific modelling of electrophysiologybut remain computationally prohibitive and are typically restricted tospecialised centres with access to multimodal imaging, including lategadolinium enhancement (LGE) MRI for fibrosis characterisation. No scalable,open-source surrogate framework currently operates directly from the c...

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Literature Corpus work
3e9366b9-c118-5f50-9100-a174f84e26bd
DOI
10.21203/rs.3.rs-9477173/v1
Open publication

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Physics-Informed AI Surrogates for Simulation-Driven Cardiac Digital Twins from Clinical MRI: Fibrosis-Driven Arrhythmia Prediction Across Five Cardiac PathologiesDOI 10.21203/rs.3.rs-9477173/v1
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