Performance of artificial intelligence in diabetes-related foot ulcer detection and assessment: a scoping review of clinical validation studies
- DOI
- 10.1016/j.diabres.2026.113485
- Published
- 2026-09
- Container
- Diabetes Research and Clinical Practice
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.diabres.2026.113485,
title = {Performance of artificial intelligence in diabetes-related foot ulcer detection and assessment: a scoping review of clinical validation studies},
author = {Riki Wartakusumah and Kanae Mukai and Hiroshi Noguchi and Makoto Oe},
year = {2026},
journal = {Diabetes Research and Clinical Practice},
doi = {10.1016/j.diabres.2026.113485},
url = {https://doi.org/10.1016/j.diabres.2026.113485}
}RIS
TY - JOUR TI - Performance of artificial intelligence in diabetes-related foot ulcer detection and assessment: a scoping review of clinical validation studies AU - Riki Wartakusumah AU - Kanae Mukai AU - Hiroshi Noguchi AU - Makoto Oe PY - 2026 JO - Diabetes Research and Clinical Practice DO - 10.1016/j.diabres.2026.113485 UR - https://doi.org/10.1016/j.diabres.2026.113485 ER -
APA
Wartakusumah, R., Mukai, K., Noguchi, H., & Oe, M. (2026). Performance of artificial intelligence in diabetes-related foot ulcer detection and assessment: a scoping review of clinical validation studies. Diabetes Research and Clinical Practice. https://doi.org/10.1016/j.diabres.2026.113485
Source records
- crossref · retrieved 2026-09-26T23:02:37.162Z