Using machine learning models to predict post-revascularization thrombosis in PAD.
Journal:
Frontiers in artificial intelligence
Published Date:
May 7, 2025
Abstract
BACKGROUND: Graft/ stent thrombosis after lower extremity revascularization (LER) is a serious complication in patients with peripheral arterial disease (PAD), often leading to amputation. Thus, predicting arterial thrombotic events (ATE) within 1 year is crucial. Given the high rates of thrombosis post-revascularization, this study aimed to develop a machine learning model (MLM) incorporating viscoelastic testing and patient-specific variables to predict ATE following LER.
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