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

Artificial Intelligence (2129) Chronic Foot Ulcer and Wounds (20) Pressure Ulcers and Decubitus Wounds (29) Machine Learning (2076) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69408, first published .
Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

Authors of this article:

Manuel Alberto Silva1, 2 Author Orcid Image ;   Emma J Hamilton3, 4 Author Orcid Image ;   David A Russell5, 6 Author Orcid Image ;   Fran Game7 Author Orcid Image ;   Sheila C Wang8, 9 Author Orcid Image ;   Sofia Baptista10, 11, 12 Author Orcid Image ;   Matilde Monteiro-Soares11, 13, 14 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Manuel Alberto Silva   1, 2 , MD ;   Emma J Hamilton   3, 4 , MBBS, PhD ;   David A Russell   5, 6 , MBChB, MSc, MD ;   Fran Game   7 , MBBCh ;   Sheila C Wang   8, 9 , MD, PhD ;   Sofia Baptista   10, 11, 12 , MD, PhD ;   Matilde Monteiro-Soares   11, 13, 14 , PhD

1 USF Sanus Carandá, ULS Braga, Braga, Portugal

2 Faculty of Medicine, University of Porto, Porto, Portugal

3 Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Murdoch, Australia

4 University of Western Australia School of Medicine, Fiona Stanley Hospital, Murdoch, Australia

5 Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, United Kingdom

6 Leeds Vascular Institute, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom

7 University Hospitals of Derby and Burton NHS Foundation Trust, Derby, United Kingdom

8 Division of Dermatology, Department of Medicine, University of Toronto, Toronto, ON, Canada

9 Women’s College Hospital, Toronto, ON, Canada

10 MEDCIDS—Departamento de Medicina da Comunidade Informação e Decisão em Saúde, Faculty of Medicine, University of Porto, Porto, Portugal

11 CINTESIS@RISE—Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal

12 CUF Porto Hospital, Porto, Portugal

13 Portuguese Red Cross Health School Lisbon, Lisbon, Portugal

14 Cross I&D, Lisbon, Portugal

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