Research progress on the application of artificial intelligence in the screening and treatment of retinopathy of prematurity
10.3760/cma.j.cn511434-20230109-00013
- VernacularTitle:人工智能在早产儿视网膜病变诊疗中的应用研究进展
- Author:
Di WU
1
;
Jianbo MAO
;
Yu LU
;
Xiaorong XU
;
Lijun SHEN
;
Mingzhai SUN
Author Information
1. 中国科学技术大学, 合肥 230026
- Keywords:
Retinopathy of prematurity;
Medical image analysis;
Artificial intelligence;
Deep learning;
Review
- From:
Chinese Journal of Ocular Fundus Diseases
2023;39(12):1022-1027
- CountryChina
- Language:Chinese
-
Abstract:
Retinopathy of prematurity (ROP) is a major cause of vision loss and blindness among premature infants. Timely screening, diagnosis, and intervention can effectively prevent the deterioration of ROP. However, there are several challenges in ROP diagnosis globally, including high subjectivity, low screening efficiency, regional disparities in screening coverage, and severe shortage of pediatric ophthalmologists. The application of artificial intelligence (AI) as an assistive tool for diagnosis or an automated method for ROP diagnosis can improve the efficiency and objectivity of ROP diagnosis, expand screening coverage, and enable automated screening and quantified diagnostic results. In the global environment that emphasizes the development and application of medical imaging AI, developing more accurate diagnostic networks, exploring more effective AI-assisted diagnosis methods, and enhancing the interpretability of AI-assisted diagnosis, can accelerate the improvement of AI policies of ROP and the implementation of AI products, promoting the development of ROP diagnosis and treatment.
