International Review of Ophthalmology ›› 2021, Vol. 45 ›› Issue (3): 231-236.doi: 10.3760/cma.j.issn.1673-5803.2021.03.011

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Artificial intelligence in diagnosis and classification of cataract

Chen Shuying, Wang Kaijie, Wan Xiuhua   

  1. Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing 100005, China

  • Received:2020-10-25 Online:2021-06-22 Published:2021-06-22
  • Contact: Wan Xiuhua, Email: xiuhuawan@163.com
  • Supported by:
    Beijing Science and Technology Project(Z191100002019013)

Abstract: Artificial intelligence (AI) has been widely used in cataract detection and classification. At present, there are mainly two cataract detection and classification methods based on slit lamp photos and color fundus photos. At the same time, a variety of algorithm models can obtain the lens features of cataract patients to get more accurate diagnosis and grading results, such as support vector machine regression model, group sparse regression model, convolution recurrent neural network model, deep convolution neural network model and so on. (Int Rev Ophthalmol, 2021, 45: 231-236)


Key words: artificial intelligence, cataract, detection, classification