Analysis of foot thermography images of diabetic patients using artificial intelligence: a scoping review
Authors' conclusion
AI has advanced diabetic foot detection
Study context
- Population
- Original research and conference proceedings on artificial intelligence (AI)-based foot thermography for diagnosing or monitoring diabetic adults; PubMed, MEDLINE, CINAHL, ScienceDirect, Scopus, Google Scholar
- Participants
- 60 articles
- Outcome
- AI-based diabetic foot thermography
Main finding
As reported in the abstract
AI performance range
61% to 100%
Study environments controlled
46.67%
Study environments uncontrolled
6.67%
Study environments unreported
46.67%
Original publication
Analysis of foot thermography images of diabetic patients using artificial intelligence: a scoping review. Diabetes Res Clin Pract. Published 30 August 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →