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Artificial intelligence (AI) has emerged as a transformative force in optometry [1], particularly for glaucoma diagnosis. In this context, AI in optometry refers to the advanced algorithms that analyze complex data such as fundus photos and related patient data. These AI systems use techniques of image processing, computer vision, deep learning, and transfer learning to detect and diagnose glaucoma.
JMIR Med Inform 2025;13:e63109
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Using Smartphones to Enhance Vision Screening in Rural Areas: Pilot Study
The vision measurement with apps was performed by personnel without optometry expertise. All vision tests were performed under a noncycloplegic condition.
A standard Tumbling E eye chart was used in vision screening of 73 children in Sichuan, China, in 2023.
A total of 73 fourth and fifth graders in Meigu County, Sichuan, China, who attended a charity summer camp in 2023 were screened for vision as a part of the charity program.
JMIR Form Res 2024;8:e55270
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Mobile Apps for Eye Care in Canada: An Analysis of the iTunes Store
We posit that one of the reasons for the paucity of studies in this domain is that from a Canadian medico-legal standpoint, eye exercises are considered to be vision therapy that according to the Optometry Act [14] must be administrated exclusively by health care professionals.
JMIR Mhealth Uhealth 2017;5(6):e84
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