Artificial intelligence for diabetic retinopathy.
10.1097/CM9.0000000000001816
- Author:
Sicong LI
1
;
Ruiwei ZHAO
2
;
Haidong ZOU
1
Author Information
1. Department of Ophthalmology, Shanghai General Hospital (Shanghai First People's Hospital), Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China.
2. Fudan University, Shanghai, China.
- Publication Type:Journal Article
- MeSH:
Artificial Intelligence;
Blindness;
Diabetes Mellitus;
Diabetic Retinopathy/diagnosis*;
Humans;
Mass Screening
- From:
Chinese Medical Journal
2021;135(3):253-260
- CountryChina
- Language:English
-
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.
