Article

Personalized planning of cardiac resynchronization therapy through integration of coronary sinus geometry, clinical data, digital twins, and machine learning: visualization, stratification, and optimization

2026-07-02

Abstract excerpt

<h4>Background</h4> Cardiac resynchronization therapy (CRT) fails in 30% of patients, often due to suboptimal left ventricular pacing site (LVPS) selection. Current practice lacks tools for pre-procedural, patient-specific LVPS optimization within the accessible coronary sinus (CS) tributaries. This study aimed to develop a digital twin and an explainable ML-based clinical decision support framework to address th...

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Literature Corpus work: 8f5c984d-c5f8-5547-bc1c-a54514240712
DOI: 10.64898/2026.07.01.26356827

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