New diagnosis and treatment pattern for cataract based on artificial intelligence

Authors: Wang Ting,  Wang Ruixin,  Lin Haotian
DOI: 10.3760/cma.j.cn115989-20200608-00405
Published 2021-09-10
Cite asChin J Exp Ophthalmol, 2021, 39(9): 832-836.

Abstract

With the increase in the aging of the global population, the prevalence of cataract has increased gradually, and cataract has become a significant cause of blindness and visual impairment in China and even in the whole world.In recent years, artificial intelligence (AI) technology has developed rapidly, and has been applied widely in medical fields, especially in ophthalmology.AI is expected to become a vital method to alleviate the lack of medical resources, improve the efficiency of diagnosis and treatment and reduce medical costs.For cataract, AI is mainly applied in cataract screening and diagnosis, preoperative evaluation, the calculation of intraocular lens power and the analysis of cataract surgery procedure.In this article, the researches on the applications of AI technology in the diagnosis and classification of cataract based on the slit-lamp/fundus photograph, ultrasound image, cataract surgery video and health record data, the grading of opacity, the calculation of intraocular lens power as well as the recognization of cataract surgery and the management of cataract patients at home and abroad were summarized and reviewed in order to provide more references for the application and promotion of AI in ophthalmology.

Key words:

Cataract; Artificial intelligence; Deep Learning; Diagnosis and treatment pattern

Contributor Information

Wang Ting

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China

Wang Ruixin

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China

Lin Haotian

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China

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Updated: September 18, 2021 — 2:19 am