Artificial intelligence for diabetic retinopathy. Issue 3 (5th February 2022)

• Record Type: Journal Article
• Authors: Li, Sicong; Zhao, Ruiwei; Zou, Haidong
• Editors: Guo, Lishao
• Is Part Of: Chinese medical journal. Volume 135:Issue 3(2022)
• Page Start: 253
• Page End: 260
• Publication Date: 2022-02-05
• Subjects: Artificial intelligence -- Deep learning -- Diabetic retinopathy; Medicine -- Periodicals; Medicine, Oriental -- Periodicals; Medicine; Medicine, Oriental; Medicine; Medicine, East Asian Traditional; Periodicals; Electronic journals; 610.5
• DOI: 10.1097/CM9.0000000000001816
• Languages: English
• ISSNs: 0366-6999

Abstract

Abstract : Abstract: Diabetic retinopathy (DR) is an important cause of blindness globally, and its prevalence is increasing. Early detection and intervention can help change the outcomes of the disease. The rapid development of artificial intelligence (AI) in recent years has led to new possibilities for the screening and diagnosis of DR. An AI-based diagnostic system for the detection of DR has significant advantages, such as high efficiency, high accuracy, and lower demand for human resources. At the same time, there are shortcomings, such as the lack of standards for development and evaluation and the limited scope of application. This article demonstrates the current applications of AI in the field of DR, existing problems, and possible future development directions.