Review
Research progress on the application of artificial intelligence in the screening and treatment of retinopathy of prematurity
Wu Di, Mao Jianbo, Lu Yu, Xu Xiaorong, Shen Lijun, Sun Mingzhai
Published 2023-12-25
Cite as Chin J Ocul Fundus Dis, 2023, 39(12): 1022-1027. DOI: 10.3760/cma.j.cn511434-20230109-00013
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.
Key words:
Retinopathy of prematurity; Medical image analysis; Artificial intelligence; Deep learning; Review
Contributor Information
Wu Di
University of Science and Technology of China, Hefei 230026, China
Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China
Mao Jianbo
Department of Ophthalmology, Zhejiang Provincial People's Hospital, Hangzhou 310000, China
Lu Yu
Hefei Orbis Biotech LTD, Hefei 230000, China
Xu Xiaorong
University of Science and Technology of China, Hefei 230026, China
Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China
Shen Lijun
Department of Ophthalmology, Zhejiang Provincial People's Hospital, Hangzhou 310000, China
Eye Hospital of Wenzhou Medical University, Wenzhou 325000, China
Sun Mingzhai
Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou 215123, China
