Diabetic Foot Ulcer Classification Based on Artificial Intelligence Techniques: A Review

Diabetes related foot ulcers and the associated general complications of diabetes pose significant health issues around the globe. Skilled professionals and specific medical apparatus are typically required by a number of diagnostic approaches for wound assessment. The use of artificial intelligence in the classification of diabetic foot ulcers is examined in this study specifically looking at machine learning and deep learning methods. The research shows that computers running on artificial intelligence improved diagnoses for foot ulcers are made. Artificial intelligence techniques are currently changing the way DFU management is carried out by means of an improvement in  diagnostic accuracy.