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11-16 April 2026
Conference 13006 > Paper 13006-98
Paper 13006-98

AI-enabled smart LSCI system for early diagnosis of diabetic foot ulcers

On demand | Presented live 11 April 2024

Abstract

Diabetic foot ulcers (DFU) are open sores or wounds that develop on the feet of people with diabetes. They are a serious complication and often occur on the bottom of the foot. DFU treatment in the field of medical sciences is an advanced field of study. Patients with DFU have a five-year death rate of approximately 40%. Age, gender, medical history, vascular diseases, and renal illness are major risk factors for mortality. While 90% of people with diabetes worldwide have type 2 diabetes mellitus, accounting for 463 million cases of the disease. DFU diagnosis and treatment has been performed with Laser Speckle Contrast Imaging (LSCI) which is a non-invasive imaging technology. LSCI is becoming widely recognized as a vital technique for evaluating the impacts and implications of this disease. Major types of LSCI has been studied for the application of laser speckle technology in medical diagnosis. Region of Interest (ROI) and Multi exposure based LSCI applications and implementations has been reviewed in this study. Along with the application of conventional LSCI, Artificial Intelligence (AI) tools has been studied for robust results to combat issues associated with diabetes.

Presenter

King Abdullah Univ. of Science and Technology (Saudi Arabia)
Application tracks: AI/ML
Author
Aqeel Ur-Rehman
Information Technology Univ. of the Punjab (Pakistan)
Author
Sadia Noureen
Information Technology Univ. of the Punjab (Pakistan)
Author
MLab, STI Unit, The Abdus Salam International Centre for Theoretical Physics (Italy)
Author
School of Electronic and Electrical Engineering, Kyungpook National University (KNU), (Korea, Republic of)
Author
Information Technology Univ. of the Punjab (Pakistan)
Presenter/Author
King Abdullah Univ. of Science and Technology (Saudi Arabia)