New diagnosis and treatment pattern for cataract based on artificial intelligence
10.3760/cma.j.cn115989-20200608-00405
- VernacularTitle:基于人工智能的白内障新诊疗模式
- Author:
Ting WANG
1
;
Ruixin WANG
;
Haotian LIN
Author Information
1. 中山大学中山眼科中心 眼科学国家重点实验室，广州 510060
- Keywords:
Cataract;
Artificial intelligence;
Deep Learning;
Diagnosis and treatment pattern
- From:
Chinese Journal of Experimental Ophthalmology
2021;39(9):832-836
- CountryChina
- Language:Chinese
-
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.
