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Automated Risk Assessment of Amputation in Patients with Peripheral Artery Disease

2025-12-04

Abstract excerpt

<h4>Objective</h4> Peripheral artery disease (PAD) affects over eight million Americans and is a leading cause of non-traumatic lower extremity amputation in the United States. Identifying which patients are at highest risk for limb loss can improve the timeliness of intervention to prevent amputation. We wanted to test the predictive performance of machine learning models developed to predict amputations in pati...

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Literature Corpus work
f1e35d85-c572-58e9-808e-09f459eef9d8
DOI
10.64898/2025.12.02.25340994
Open publication

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