Advances in artificial intelligence models and algorithms in the field of optometry

被引：1
|
作者：
Wang, Suyu [1 ,2 ]
Ji, Yuke [1 ,2 ]
Bai, Wen [1 ,2 ]
Ji, Yun [3 ]
Li, Jiajun [1 ,2 ]
Yao, Yujia [1 ,2 ]
Zhang, Ziran [1 ,2 ]
Jiang, Qin [1 ,2 ]
Li, Keran [1 ,2 ]
机构：
[1] Nanjing Med Univ, Dept Ophthalmol, Affiliated Eye Hosp, Nanjing, Peoples R China
[2] Nanjing Med Univ, Sch Clin Med 4, Nanjing, Peoples R China
[3] Shandong Univ Tradit Chinese Med, Affiliated Hosp, Jinan, Shandong, Peoples R China
来源：
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY | 2023年 / 11卷
基金：
中国国家自然科学基金;
关键词：
artificial intelligence; optometry; myopia; strabismus; amblyopia; corneal conus; artificial lens; COLLAGEN CROSS-LINKING; RAW DATA; AMBLYOPIA; KERATOCONUS; STRABISMUS; PREDICTION; RISK; ANISOMETROPIA; COMPLICATIONS; AGE;
D O I：
10.3389/fcell.2023.1170068
中图分类号：
Q2 [细胞生物学];
学科分类号：
071009 ; 090102 ;
摘要：
The rapid development of computer science over the past few decades has led to unprecedented progress in the field of artificial intelligence (AI). Its wide application in ophthalmology, especially image processing and data analysis, is particularly extensive and its performance excellent. In recent years, AI has been increasingly applied in optometry with remarkable results. This review is a summary of the application progress of different AI models and algorithms used in optometry (for problems such as myopia, strabismus, amblyopia, keratoconus, and intraocular lens) and includes a discussion of the limitations and challenges associated with its application in this field.
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页数：17
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