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

Artificial Intelligence in Diabetes Care and Prevention (53) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1729) Chronic Foot Ulcer and Wounds (20) Clinical Information and Decision Making (1909) Imaging Informatics (301)

Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65209, first published .
The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

Authors of this article:

Meshari F Alwashmi1 Author Orcid Image ;   Mustafa Alghali1 Author Orcid Image ;   AlAnoud AlMogbel2 Author Orcid Image ;   Abdullah Abdulaziz Alwabel2, 3 Author Orcid Image ;   Abdulaziz S Alhomod3 Author Orcid Image ;   Ibrahim Almaghlouth2, 4 Author Orcid Image ;   Mohamad-Hani Temsah2 Author Orcid Image ;   Amr Jamal2 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Alwashmi M, alghali M, Abu-Ashour W, Arabe A, Al Soheimi A, Alharbi N, Badahdah H. AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study. JMIR Formative Research 2025;9:e81289 View
  2. Iturriago-Salas L, Mesa-Sarmiento J, Castro-Cabrera P, Álvarez-Meza A, Castellanos-Dominguez G. Artificial Intelligence-Driven Mobile Platform for Thermographic Imaging to Support Maternal Health Care. Computers 2025;14(11):466 View