Explore the possibilities of the artificial intelligence program in the diagnosis of diabetic macular edema, age-related macular degeneration, central serous choriopathy and vitreomacular interface anomalies on the structural optical coherence tomography scans.

Abstract

Background: macular diseases present a large group of pathological conditions leading to vision loss and poor vision. Early diagnosis of such changes plays an important role in the treatment tactics and comes one of the crucial factors in predicting results. Aims: study the possibilities of the artificial intelligence program in the diagnosis of the macular diseases based on the scans of structural OCT analysis. Materials and methods: the study included patients undergoing examination and treatment at the Federal Medico-Biological Agency Federal Research Clinical Center and the Moscow Regional Research Clinical Institute named after M.F. Vladimirsky. 200 eyes with the macular diseases and also eyes without macular pathology were examined. A comparative clinical analysis of structural OCT scans performed on an RTVue XR 110-2 tomograph was carried out. Retina AI software was used to analyze OCT scans. Results: during the OCT scans analysis various pathological structures of the macular were identified, and then a probable diagnosis was defined. The obtained results were compared with the diagnosis of the ophthalmologists. The sensitivity of the method was 95.16%; specificity - 97.76%; accuracy - 97.38%. Conclusions: Retina.AI allows ophthalmologists to successfully perform automated analysis of the OCT scans and identify various pathological conditions of the eye fundus.