Journal of Otolaryngology and Ophthalmology of Shandong University ›› 2023, Vol. 37 ›› Issue (3): 157-162.doi: 10.6040/j.issn.1673-3770.0.2022.374

• 综述 • Previous Articles    

Progress in the diagnosis and treatment of retinopathy of prematurity using artificial intelligence

DU Yueshanyi1,2, WANG Xian3, ZHANG Guoming1,2   

  1. 1. Clinical Medical College, Guizhou Medical University, Guiyang 550004, Guizhou, China;
    2. Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen 518040, Guangdong, China;
    3. Department of Ophthalmology, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, Guizhou, China
  • Published:2023-05-24

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Abstract: Retinopathy of prematurity(ROP)is one of the main causes of blindness in children, while early screening and diagnosis of ROP are highly dependent on ophthalmologists. With the rapid development of modern medical imaging technology and the rise of telemedicine, artificial intelligence(AI)has also been further applied in the field of ROP. In recent years, AI based on neural convolutional network and deep learning has been applied in the field of eye screening, disease detection, diagnosis and treatment, especially for the clinical diagnosis and treatment of ROP. It is expected that AI will aid primary pediatricians and ophthalmologists in early diagnosis and standardized treatment of ROP, and reduce the subjective differences among first-line doctors. This review summarizes the current status, shortcomings, and challenges faced by AI in automated ROP screening, diagnosis, and prediction, which enables the further understanding of new trends and progressment made by its clinical application in ROP.

Key words: Retinopathy of prematurity, Artificial intelligence, Deep learning, Automated screening, Diagnosis, Prediction

CLC Number: 

  • R779.7
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