https://www.selleckchem.com/products/azd4547.html
To evaluate the performance of an AI-based diabetic retinopathy (DR) grading model in real-world community clinical setting. Participants with diabetes on record in the chosen community were recruited by health care staffs in a primary clinic of Zhengzhou city, China. Retinal images were prospectively collected during December 2018 and April 2019 based on intent-to-screen principle. A pre-validated AI system based on deep learning algorithm was deployed to screen DR graded according to the International Clinical Diabetic Retinopathy sca
Like
Comment
Share
