Assessing a deep learning tool for cataract detection using a public dataset

Objective: To assess the diagnostic accuracy of a deep learning tool for cataract detection using retinal images from the Ocular Disease Intelligent Recognition (ODIR) public dataset. Methods: The study was conducted using a publicly available dataset, with a web-based Artificial Intelligence tool. This was an observational, cross-sectional study. A total of 230 fundus images were selected from the ODIR dataset, equally divided between 115 cataract cases and 115 non-cataract cases. The images were processed using the Gobvision Artificial Intelligence [...]