Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

BackgroundPeripheral arterial disease (PAD) is underdiagnosed, partially due to a high prevalence of atypical symptoms and a lack of physician and patient awareness. Implementing clinical decision support tools powered by machine learning algorithms may help physicians identi...

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Bibliographic Details
Main Authors: Vy Ho, Cati Brown Johnson, Ilies Ghanzouri, Saeed Amal, Steven Asch, Elsie Ross
Format: Article
Language:English
Published: JMIR Publications 2023-11-01
Series:JMIR Cardio
Online Access:https://cardio.jmir.org/2023/1/e44732

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