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

Reviews on Diabetes Technologies and Innovations (88) Digital Health Reviews (3503) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2296) Artificial Intelligence (4527) Artificial Intelligence in Diabetes Care and Prevention (102)

Published on in Vol 11 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77925, first published .
Foot ulcer analyzed by AI, showing data layers and brain network

AI-Based Models for Diabetic Foot Ulcer Assessment: Scoping Review

AI-Based Models for Diabetic Foot Ulcer Assessment: Scoping Review

Authors of this article:

Muhamad Zulfiqar1 Author Orcid Image ;   Saldy Yusuf1, 2 Author Orcid Image ;   Muhammad Jufri Taming1 Author Orcid Image ;   Herlina Burhan1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Muhamad Zulfiqar   1 , MSN ;   Saldy Yusuf   1, 2 , PhD ;   Muhammad Jufri Taming   1 , MSN ;   Herlina Burhan   1 , BSN

1 Faculty of Nursing, Hasanuddin University, Makassar, South Sulawesi, Indonesia

2 Indonesian Diabetic Foot Care Research Group (IndoFootCare), Hasanuddin University, Makassar, South Sulawesi, Indonesia

Corresponding Author:

  • Saldy Yusuf, PhD
  • Faculty of Nursing
  • Hasanuddin University
  • Jl. Perintis Kemerdekaan KM 10
  • Makassar, South Sulawesi 90245
  • Indonesia
  • Phone: 62 81241841800
  • Email: saldy_yusuf@yahoo.com