Exploratory study evaluates explainable AI's utility in detecting foot features based on sex differences, highlighting innovative technology applications.
Background: Foot morphologies related to specific populations and diseases have been reported; however, their identification remains limited by human cognition. This study aimed to evaluate the utility of explainable artificial intelligence (XAI) in detecting foot characteristics, using sex differences as an exploratory study.
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Kasai et al. (2026) studied this question.
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