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Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81289, first published .
Thermal imaging of feet on a blue surface, displayed on a smartphone screen.

AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study

AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study

Journals

  1. Morales-Ramírez T, Román-Rojas D, Espinoza-Valdez A. Infrared Thermography in Diabetic Foot Assessment: Review. Diabetology 2026;7(3):47 View
  2. Dubský M, Liegertová M, Bém R, Sojáková D, Fejfarová V, Jude E. Artificial Intelligence in Diabetes Care. Diabetes, Obesity and Metabolism 2026;28(6):4587 View
  3. Alrashed K, Almuhaini M, Albekhitan T, Khormi A, Alotaibi F, Alromaih F, Kofi M. Interventions to Prevent and Reduce Diabetic Peripheral Neuropathy Complications in PHCs: A Systematic Review. Journal of Clinical Practice and Medical Research 2026;2(6):1 View

Conference Proceedings

  1. Ahmed B, Montañés-Rodríguez P, Aghzout O, Ruiz-Alzola J. 2026 6th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). IAC-TecMed Database for Infrared Thermography-Based Diabetic Foot Monitoring View
  2. M A, Jnan A, Ningombam A, S J, P P. 2026 Forth International Conference on Networks, Multimedia and Information Technology (NMITCON). A Data-Driven Framework for Diabetic Peripheral Neuropathy Risk Prediction Using Foot Thermograms View