Assessment of Hypertensive Retinopathy Using Convolutional Neural Network "RetinAIcheck"

The current study is aimed at estimating the diagnostic effectiveness of a developed convolutional neural network (CNN) "RetinAIcheck" in grading the severity of hypertensive retinopathy in patients of the Russian population. The training data set was obtained from an open source and relabeled by seven independent retina specialists, the sample size was 30,000 fundus photographs. The test sample included 729 patients (1401 eyes) with HR. The reference standard was the result of independent grading of HR stage by two ophthalmologists, controversial clinical cases were evaluated with the involvement of a third ophthalmologist.

NCT Number	NCT07471971
Lead Sponsor	I.M. Sechenov First Moscow State Medical University
Conditions	Hypertensive Retinopathy
Enrollment	729 participants
Start Date	2021-03-11
Primary Completion	2026-02-26 (estimated)
Study Completion	2026-02-26 (estimated)
Updated on ClinicalTrials.gov	2026-03-16