Artificial Intelligence and Machine Learning in Diabetic Foot Ulcer Care: Advances in Diagnosis, Treatment, Prognosis, and Novel Therapeutic Strategies.

Journal: Journal of diabetes science and technology
Published Date:

Abstract

BACKGROUND: Diabetic foot ulcers (DFUs) affect 19% to 34% of individuals with diabetes during their lifetime and account for over one million nontraumatic lower-limb amputations annually. Standard care often fails to detect early, subclinical changes, leading to delayed intervention and high mortality rates. This review examines how artificial intelligence (AI) and machine learning (ML) can extract complex patterns from diverse data modalities to advance DFU care.

Authors

  • Abdulhamit Misir
    2 Baltalimani Bone and Joint Diseases Training and Research Hospital, Department of Orthopedics and Traumatology, Istanbul, Turkey.

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