Journal of Shandong University (Health Sciences) ›› 2020, Vol. 58 ›› Issue (11): 11-16.doi: 10.6040/j.issn.1671-7554.0.2020.1173

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

Research progress of artificial intelligence in childhood eye diseases

Haotian LIN*(),Longhui LI,Jingjing CHEN   

  1. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, Guangdong, China
  • Received:2020-08-17 Online:2020-11-10 Published:2020-11-04
  • Contact: Haotian LIN E-mail:linht5@mail.sysu.edu.cn

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Abstract:

Childhood is a critical period of visual system development, during which eye diseases can easily lead to irreversible visual impairment and cause heavy family and socioeconomic burdens. Early screening and early treatment have always been essential, but due to the shortage of pediatric ophthalmologists, it is very difficult to carry out large-scale screening. With the tremendous progress of data processing technology, artificial intelligence is used greatly in the medical field. At present, artificial intelligence has been widely studied and applied in the fields of retinopathy of prematurity (ROP), congenital cataract, strabismus, refractive error and visual function screening. It has excellent performance in early screening, diagnosis and staging, treatment recommendations, and prognosis prediction of a variety of childhood eye diseases. However, childhood eye diseases are far less focused than adult eye diseases, and there are still many problems to be solved.

Key words: Artificial intelligence, Machine learning, Deep learning, Childhood eye diseases

CLC Number: 

  • R779.7
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