Development of a Machine-Learning–Based Tool for Overnight Orthokeratology Lens Fitting-Reference-Cited by-同舟云学术

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Development of a Machine-Learning–Based Tool for Overnight Orthokeratology Lens Fitting

Published:2024-02-22 Issue:2 Volume:13 Page:17
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Koo Seongbong¹,Kim Wook Kyum²,Park Yoo Kyung²,Jun Kiwon¹,Kim Dongyoung¹,Ryu Ik Hee¹³,Kim Jin Kuk¹³,Yoo Tae Keun¹³

Affiliation:

1. Myopia Research Lab, VISUWORKS, Seoul, South Korea

2. Contact Lens Clinic, B&VIIT Eye Center, Seoul, South Korea

3. Department of Ophthalmology and Vision Science, B&VIIT Eye Center, Seoul, South Korea

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference27 articles.

1. Orthokeratology for myopia control: a meta-analysis;Si;Optom Vis Sci,2015

2. Change in corneal power distribution in orthokeratology: a predictor for the change in axial length;Zhang;Transl Vis Sci Technol,2022

3. Influence of corneal topographic parameters in the decentration of orthokeratology;Gu;Eye Contact Lens,2019

4. Empirical versus trial set fitting systems for accelerated orthokeratology;Maldonado-Codina;Eye Contact Lens,2005

5. Corneal refractive therapy, uncorrected visual acuity, and “E” values: personal experiences;Lowe;Eye Contact Lens,2004

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1. Artificial intelligence in myopia in children: current trends and future directions;Current Opinion in Ophthalmology;2024-08-27

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