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Critical appraisal of a multicenter clinical-radiological machine learning model for peripheral artery disease

Hasan Nawaz Tahir1, Ali Hassan2, Safia Bibi3

  • 1Department of Medical Education, College of Medicine-Dawadmi, Shaqra University, Saudi Arabia.

International Journal of Medical Informatics
|March 11, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Decision curve analysisMachine learningPeripheral artery diseaseRadiomics

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Clinical manifestationsPeripheral Arterial Disease (PAD) manifests through a range of symptoms, from the characteristic intermittent claudication to atypical presentations and severe complications in advanced stages. Intermittent claudication, a hallmark symptom of PAD, presents as exercise-induced muscle pain that typically resolves within minutes of rest. This pain is reproducible and stems from inadequate blood flow, leading to the accumulation of lactic acid produced during anaerobic...
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