Digital infrared thermography and machine learning for diabetic foot assessment: thermal patterns and classification

Correlations between mean foot temperature and clinical variables suggest foot temperature changes as potential indicators for assessing diabetic foot complications and the machine learning model demonstrates promising accuracy for classification, suitable for screening purposes.