This paper is in the following e-collection/theme issue:

Theme Issue (2023): Generative & Multimodal AI in Digital Cardiovascular Medicine (6) Clinical Informatics (1107) Clinical Information and Decision Making (1547) Decision Support for Health Professionals (1287) Machine Learning (1627) Artificial Intelligence (1602) Computer-Aided Diagnosis (163) E-Health / Health Services Research and New Models of Care (573)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44732, first published .
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

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

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

Authors of this article:

Vy Ho1 Author Orcid Image ;   Cati Brown Johnson2 Author Orcid Image ;   Ilies Ghanzouri1 Author Orcid Image ;   Saeed Amal3 Author Orcid Image ;   Steven Asch2, 4 Author Orcid Image ;   Elsie Ross1 Author Orcid Image
Article Authors Cited by (10) Tweetations (6) Metrics
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New in JMIR Cardio: 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 https://t.co/sjIcFdDQ7O https://t.co/6So70xBrT6

3:09 PM · Nov 06, 2023

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JMIR Cardio JMIR Cardio @JMIR_Cardio

RT @jmirpub: New in JMIR Cardio: Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Sc…

3:10 PM · Nov 06, 2023

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Saeed Amal Saeed Amal @said6041

Successful collaboration between #The_Amal_Lab_for_Precision_Medicine at @RouxInstitute and the Ross Lab at Stanford University School of Medicine on the Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease. https://t.co/iRusCVOzUv

7:38 PM · Dec 21, 2023

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The Amal Lab for Precision Medicine The Amal Lab for Precision Medicine @samalnortheast1

Successful collaboration between #The_Amal_Lab_for_Precision_Medicine team at @RouxInstitute and the Ross Lab at Stanford University School of Medicine on the Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease. https://t.co/BwtjAcyoF9

7:43 PM · Dec 21, 2023

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Saeed Amal Saeed Amal @said6041

Successful collaboration between #The_Amal_Lab_for_Precision_Medicine team at @RouxInstitute and the Ross Lab at Stanford University School of Medicine on the Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease. https://t.co/BIR5WhyYIV

7:43 PM · Dec 21, 2023

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Wadha Am Wadha Am @WadhaAm1

RT @said6041: Successful collaboration between #The_Amal_Lab_for_Precision_Medicine team at @RouxInstitute and the Ross Lab at Stanford Uni…

7:47 PM · Dec 21, 2023

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