The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study.

Journal: JMIR diabetes
Published Date: Jun 13, 2025

Abstract

BACKGROUND: Diabetic foot problems are among the most debilitating complications of diabetes mellitus. Diabetes prevalence and complications, notably diabetic foot ulcers (DFUs), continue to rise, challenging health care despite advancements in medicine. Traditional DFU detection methods face scalability issues due to inefficiencies in time and practical application, leading to high recurrence and amputation rates alongside substantial health care costs. Human medical thermography could significantly enhance disease monitoring and detection, including DFUs.

Authors

  • Meshari F Alwashmi
    Amplifai Health, 3053 Yaqoub al kandi, Al Nafel 7762, Riyadh, 13312, Saudi Arabia, 966 569272937.
  • Mustafa Alghali
    Amplifai Health, 3053 Yaqoub al kandi, Al Nafel 7762, Riyadh, 13312, Saudi Arabia, 966 569272937.
  • AlAnoud AlMogbel
    College of Medicine, King Saud University, Saudi Arabia.
  • Abdullah Abdulaziz AlWabel
    University Diabetes Center, King Saud University Medical City, Riyadh, Saudi Arabia.
  • Abdulaziz S Alhomod
    Seha Virtual Hospital, Ministry of Health, Saudi Arabia.
  • Ibrahim Almaghlouth
    College of Medicine, King Saud University, Saudi Arabia.
  • Mohamad-Hani Temsah
    Pediatric Department, College of Medicine, King Saud University, Riyadh, SAU.
  • Amr Jamal
    Evidence-Based Research Chair, Family and Community Medicine, College of Medicine, King Saud University, Riyadh, SAU.

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