Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review.

ABSTRACT:

Background

Diabetes-related foot ulceration (DFU) is a common complication of diabetes, with a significant impact on survival, health care costs, and health-related quality of life. The prognosis of DFU varies widely among individuals. The International Working Group on the Diabetic Foot recently updated their guidelines on how to classify ulcers using "classical" classification and scoring systems. No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)-based models may be the solution. Despite advances in the field, no assessment of available evidence was done.

Objective

This study aimed to identify and collect available evidence assessing the ability of ML-based

SUBMITTER: Silva MA 

PROVIDER: S-EPMC12508669 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature