Commenting on the study, Nicolas Jaccard, Principal Architect, Telehealth & Program Technology, Orbis International says: “To date, AI has been studied to detect diabetic retinopathy in adults. These studies have shown that AI is highly effective and accurate, but almost none have been tested on children.
“Adults and children with diabetes both require regular eye screenings to detect diabetic retinopathy and keep the condition from progressing, which can lead to irreversible vision loss or blindness. However, trained eye care professionals cannot meet the growing demand for diabetic retinopathy screening as the prevalence of diabetes continues to rise. A tool like Cybersight AI can help to meet this burden, especially for children and young adults who have been shown are less likely to seek out routine eye screenings.”
During the study, 1,300 children and young adults between the ages of three and 26 diagnosed with diabetes were screened at the Dhaka BIRDEM-2 hospital in Bangladesh.
Each patient had images of their retinas (the back of the eye) taken on a fundus camera at the hospital. This was then evaluated by Cybersight AI and by a fully qualified optometrist certified to grade for diabetic retinopathy.
Results showed that Cybersight AI accurately detected any signs of diabetic retinopathy among children and young adults, despite the algorithms having been trained on adults.
According to Dr. Munir Ahmed, Country Director, Orbis Bangladesh, more young people are being diagnosed with diabetes with Type II having tripled in people under 20 years old between 2011 and 2018.
He says: “Adolescents with type II diabetes have a higher risk of developing diabetic retinopathy, compared to adults. This is very concerning in Bangladesh where children and young adults do not have access to the regular diabetic retinopathy screening required to manage the disease and prevent future vision loss or blindness.”