Journal of Shandong University (Health Sciences) ›› 2020, Vol. 58 ›› Issue (11): 39-44.doi: 10.6040/j.issn.1671-7554.0.2020.1256

• Special topic on new progress in ophthalmic artificial intelligence • Previous Articles     Next Articles

Research progress of artificial intelligence diagnosis system in retinal diseases

Yi QU*(),Huankai ZHANG,Xian SONG,Baorui CHU   

  1. Department of Geriatrics, Qilu Hospital of Shandong University, Jinan 250012, Shandong, China
  • Received:2020-09-07 Online:2020-11-10 Published:2020-11-04
  • Contact: Yi QU E-mail:yiqucn@sdu.edu.cn

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Abstract:

Retinal diseases are the main cause of severe vision loss in humans. Early screening and timely follow-up of diseases such as diabetic retinopathy (DR), glaucomatous retinopathy and optic neuropathy, age-related macular degeneration (AMD) are the key of disease prevention and treatment. However, due to the limited number of ophthalmologists and the high cost of manual screening, it is difficult to carry out large-scale disease screening. The application of artificial intelligence (AI) in ophthalmology has brought dawn to solve the problems. This article reviews the application of AI in the diagnosis of DR, glaucomatous retinopathy and optic neuropathy, AMD and other diseases, discusses the application of AI diagnosis system in the teaching of retinal diseases, points out the current problems of AI systems, and looks forward to its development prospects in the field of retinopathy.

Key words: Artificial intelligence, Retinal diseases, Deep learning

CLC Number: 

  • 2020-09-07
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