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

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.

A protocol to quantify cross-sectional and longitudinal differences in duction patterns

“…Now, it is imperative to support the development of an image processing device incorporating our proposed techniques, in order to align the study of ocular motility with other advancements in eye care. As the integration of image processing and machine learning continue to shape clinical practice ( Wang et al, 2023 ), it is important to embrace these technologies and use the information provided by them to determine if one’s eye movements differ from others or from their past selves.…”