Article

Validation of Machine-Learning Angiography-Derived Physiological Pattern of Coronary Artery Disease

2024-10-18

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> The classification of physiological patterns of coronary artery disease (CAD) is crucial for clinical decision-making, significantly affecting the planning and success of percutaneous coronary interventions (PCI). <h4>Objectives</h4> This study aimed to develop a novel index to reliably interpret and classify physiological CAD patterns based on virtual pullbacks from single-vi...

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Literature Corpus work: ffbddd84-0e4c-5271-9fa3-002bdbfe271b
DOI: 10.1101/2024.10.17.24315610

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