Xiang Ren, Wei Feng, Ruijin Ran, Yunxia Gao, Yu Lin, Xiangyu Fu, Yunhan Tao, Ting Wang, Bin Wang, Lie Ju, Yuzhong Chen, Lanqing He, Wu Xi, Xiaorong Liu, Zongyuan Ge, Ming Zhang
PURPOSE: Our aim is to establish an AI model for distinguishing color fundus photographs (CFP) of RVO patients from normal individuals. METHODS: The training dataset included 2013 CFP from fellow eyes of RVO patients and 8536 age- and gender-matched normal CFP. Model performance was assessed in two independent testing datasets. We evaluated the performance of the AI model using the area under the receiver operating characteristic curve (AUC), accuracy, precision, specificity, sensitivity, and confusion matrices...
October 27, 2022: Eye