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

Suyu Wang; Yuke Ji; Wen Bai; Yun Ji; Jiajun Li; Yujia Yao; Ziran Zhang; Qin Jiang; Keran Li

doi:10.3389/fcell.2023.1170068

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

Front Cell Dev Biol. 2023 Apr 28:11:1170068. doi: 10.3389/fcell.2023.1170068. eCollection 2023.

Authors

Suyu Wang^{1

2}, Yuke Ji^{1

2}, Wen Bai^{1

2}, Yun Ji³, Jiajun Li^{1

2}, Yujia Yao^{1

2}, Ziran Zhang^{1

2}, Qin Jiang^{1

2}, Keran Li^{1

2}

Affiliations

¹ Department of Ophthalmology, The Affiliated Eye Hospital of Nanjing Medical University, Nanjing, China.
² The Fourth School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
³ Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.

Abstract

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.

Keywords: amblyopia; artificial intelligence; artificial lens; corneal conus; myopia; optometry; strabismus.

Publication types

Review

Grants and funding

This study was supported by the National Natural Science Foundation of China (82171080, 82101155), Nanjing Medical Science and Technology Development Project (YKK19157), and Postgraduate Research & Practice Innovation Program of Jiangsu Province (JX10413973).