Smartphone AI model highly accurate in detecting pediatric eye diseases: JAMA

A new study published in the Journal of American Medical Association unveiled the artificial intelligence (AI) model which used only photos from smartphones, showed good performance in correctly diagnosing ptosis, strabismus, and myopia.

Early detection of pediatric eye disorders is a global concern where conventional screening methods are costly and time-consuming, requiring hospitals and ophthalmologists. Artificial intelligence might make it easier to diagnose eye diseases in a home environment by evaluating children's eye health using smartphone images. Qin Shu and colleagues carried out this research to create an AI model that can recognize ptosis, myopia, and strabismus from cellphone photos.

Children having a diagnosis of myopia, strabismus, or ptosis were included in this cross-sectional study, which took place at the Department of Ophthalmology at Shanghai Ninth People's Hospital between October 1, 2022 and September 30, 2023. A deep learning-based model for the diagnosis of ptosis, strabismus, and myopia was created. Sensitivity, specificity, accuracy, negative predictive values (NPV), positive predictive values (PPV), negative likelihood ratios (N-LR), positive likelihood ratios (P-LR),the area under the curve (AUC), and the F1-score were used to evaluate the model's performance. The effect of each region on the model was visually and analytically evaluated using GradCAM++. To confirm the model's generalizability, subgroup analyses by age and sex were carried out.