Katie Curran, Noelle Whitestone, Bedowra Zabeen, Munir Ahmed, Lutful Husain, Mohammed Alauddin, Mohammad Awlad Hossain, Jennifer L Patnaik, Gabriella Lanoutee, David Hunter Cherwek, Nathan Congdon, Tunde Peto, Nicolas Jaccard
BACKGROUND: Artificial intelligence (AI) appears capable of detecting diabetic retinopathy (DR) with a high degree of accuracy in adults; however, there are few studies in children and young adults. METHODS: Children and young adults (3-26 years) with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) were screened at the Dhaka BIRDEM-2 hospital, Bangladesh. All gradable fundus images were uploaded to Cybersight AI for interpretation. Two main outcomes were considered at a patient level: 1) Any DR, defined as mild non-proliferative diabetic retinopathy (NPDR or more severe; and 2) Referable DR, defined as moderate NPDR or more severe...
2023: Clinical Medicine Insights. Endocrinology and Diabetes