Artificial Intelligence for Diabetic Foot Screening Based on Digital Image Analysis: A Systematic Review
Authors' conclusion
This research provides important insights into the development of AI in digital image-based diabetic foot screening.
Study context
- Population
- Studies (2018–2023) developing artificial intelligence (AI) models for diabetic foot screening using digital image analysis; PubMed, ProQuest, ScienceDirect9 articles
- Outcome
- AI models for diabetic foot screening based on digital image analysis
Methodological detailsQuality assessed with Quality Assessment of Diagnostic Accuracy Studies (QUADAS); data extracted and analysed using NVivo
- Quality assessed with QUADAS; data extracted and analysed using NVivo
Pooled result
As reported in the abstract
Highest performance: ANN model with MATLAB's Image Processing Toolbox, classifying each type of macula (accuracy)
97.5%
Original publication
Artificial Intelligence for Diabetic Foot Screening Based on Digital Image Analysis: A Systematic Review. J Diabetes Sci Technol. Published 17 February 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →