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

Formative Evaluation of Digital Health Interventions (3262) New Methods (1139) Chronic Foot Ulcer and Wounds (20) Medical imaging (114) Artificial Intelligence in Diabetes Care and Prevention (54) Ontologies, Classifications, and Coding (332)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81289, first published .
AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study

AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study

AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study

Authors of this article:

Meshari F Alwashmi1 Author Orcid Image ;   Mustafa alghali1 Author Orcid Image ;   Waseem Abu-Ashour2 Author Orcid Image ;   Abdullah Mohammed Arabe3 Author Orcid Image ;   Abdullah Al Soheimi3 Author Orcid Image ;   Nasibh Abdulrahman Alharbi3 Author Orcid Image ;   Hani Mohammed Badahdah3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Meshari F Alwashmi   1 , PhD ;   Mustafa alghali   1 , B.Eng, MSc ;   Waseem Abu-Ashour   2 , MSc, PharmD ;   Abdullah Mohammed Arabe   3 , MSc ;   Abdullah Al Soheimi   3 , CBT, MD ;   Nasibh Abdulrahman Alharbi   3 , MSc ;   Hani Mohammed Badahdah   3 , DPM, MD

1 Amplifai Health, Riyadh, Saudi Arabia

2 Memorial University, Health Sciences Centre, St. John's, NL, Canada

3 Ministry of Health, Riyadh, Saudi Arabia

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