Application progress of artificial intelligence in the screening of diabetic retinopathy
10.3760/cma.j.cn511434-20200808-00384
- VernacularTitle:人工智能在糖尿病视网膜病变筛查中的应用进展
- Author:
Yanrong WU
1
;
Guimei XIA
;
Qingyue GAO
;
Ziyou YUAN
;
Shaofeng HAO
Author Information
1. 山西省长治医学院附属和济医院眼科 046000
- Keywords:
Artificial intelligence;
Diabetic retinopathy;
Review
- From:
Chinese Journal of Ocular Fundus Diseases
2021;37(6):491-495
- CountryChina
- Language:Chinese
-
Abstract:
Artificial intelligence (AI) is an emerging science and technology that studies and develops theories, methods, technologies, and application systems for simulating and expanding human intelligence. AI has made great breakthroughs in the field of intelligent medicine, and has shown great potential in the diagnosis and treatment of diabetic retinopathy (DR), retinopathy of prematurity, and other fundus diseases. A number of clinical trials on the application of AI technologies to DR screening have been carried out in the domestic and overseas, which not only have a high accuracy rate, but also save doctors' reading time and reduce the burden of society, medical work and patients. However, due to the lack of evaluation system for DR intelligent diagnosis technology, the accuracy of AI system still lacks of big data verification. Secondly, most of the color fundus photographs are taken in the posterior 45°, which only show the most vulnerable areas, making some lesions undetectable. In addition, the current DR screening system has not yet been applied to the clinic, most of which are in the stage of prospective research and trials. There are still many obstacles from the environment to the hospital or the clinic. Doctors cannot use real patient data to evaluate the AI system, so it is not popular in clinical practice. In the future, DR screening algorithms and diagnostic models can be further improved and established to make DR AI screening more accurate.
