RT Journal Article
T1 Advanced AI-Driven Thermographic Analysis for Diagnosing Diabetic Peripheral Neuropathy and Peripheral Arterial Disease
A1 Siré Langa, Albert
A1 Lázaro Martínez, José Luis
A1 Tardaguila García, Aroa
A1 Sanz Corbalán, Irene
A1 Grau Carrión, Sergi
A1 Uribe Elorrieta, Ibon
A1 Jaimejuan Comes, Arià
A1 Reig Bolaño, Ramon
AB This study explores the integration of advanced artificial intelligence (AI) techniques with infrared thermography for diagnosing diabetic peripheral neuropathy (DPN) and peripheral arterial disease (PAD). Diabetes-related foot complications, including DPN and PAD, are leading causes of morbidity and disability worldwide. Traditional diagnostic methods, such as the monofilament test for DPN and ankle–brachial pressure index for PAD, have limitations in sensitivity, highlighting the need for improved solutions. Thermographic imaging, a non-invasive, cost-effective, and reliable tool, captures temperature distributions of the patient plantar surface, enabling the detection of physiological changes linked to these conditions. This study collected thermographic data from diabetic patients and employed convolutional neural networks (CNNs) and vision transformers (ViTs) to classify individuals as healthy or affected by DPN or PAD (not healthy). These neural networks demonstrated superior diagnostic performance, compared to traditional methods (an accuracy of 95.00%, a sensitivity of 100.00%, and a specificity of 90% in the case of the ResNet-50 network). The results underscored the potential of combining thermography with AI to provide scalable, accurate, and patient-friendly diagnostics for diabetic foot care. Future work should focus on expanding datasets and integrating explainability techniques to enhance clinical trust and adoption.
PB Multidisciplinary Digital Publishing Institute (MDPI)
SN 2076-3417
YR 2025
FD 2025-05-23
LK https://hdl.handle.net/20.500.14352/124685
UL https://hdl.handle.net/20.500.14352/124685
LA eng
NO Siré Langa, A.; Lázaro-Martínez, J.L.; Tardáguila-García, A.; Sanz-Corbalán, I.; Grau-Carrión, S.; Uribe-Elorrieta, I.; Jaimejuan-Comes, A.; Reig-Bolaño, R. Advanced AI-Driven Thermographic Analysis for Diagnosing Diabetic Peripheral Neuropathy and Peripheral Arterial Disease. Appl. Sci. 2025, 15, 5886. https://doi.org/10.3390/app15115886
DS Docta Complutense
RD 22 dic 2025