Accessible healing phase classification of diabetic foot ulcer
The accessible and automated machine learning approach's ease of use and reliability will promote early and continuous autonomous medical triaging, ultimately improving patient outcomes. Additionally, the identified essential clinical features correlating with healing phases provide insight into DFU data management.
Authors
- Reza Basiri (ORCID: https://orcid.org/0000-0002-0209-6478)
- Miloš R. Popović (ORCID: https://orcid.org/0000-0002-2837-2346)
- Charles de Mestral (ORCID: https://orcid.org/0000-0001-7177-7480)
- Shehroz S. Khan (ORCID: https://orcid.org/0000-0002-1195-4999)
Institutions
- St. Michael's Hospital (CA)
- Toronto Rehabilitation Institute (CA)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.111066
- Citations
- 1
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.29