This review examines IRT and AI for diabetic foot assessment, suggesting advancements to enhance methods.
The combination of IRT and AI shows significant potential for diabetic foot assessment; however, the great majority of these studies show that the research is confined to classification of foot thermograms using pre-prepared data sets. In particular, there is limited research on segmentation methods and constraints in the use of deep learning due to the lack of large and diverse datasets.
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Teixeira et al. (2026) studied this question.
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