You are here

Article info

Article menu

Download PDFPDF

Clinical science
Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction

Authors

  • Yang Shen Department of Ophthalmology and Optometry, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China NHC Key Laboratory of Myopia, Shanghai, China Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China PubMed articlesGoogle scholar articles
  • Lin Wang Beijing Airdoc Technology Co., Ltd, Beijing, China Monash University, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  • Weijun Jian Department of Ophthalmology and Optometry, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China NHC Key Laboratory of Myopia, Shanghai, China Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China PubMed articlesGoogle scholar articles
  • Jianmin Shang Department of Ophthalmology and Optometry, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China NHC Key Laboratory of Myopia, Shanghai, China Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China PubMed articlesGoogle scholar articles
  • Xin Wang Beijing Airdoc Technology Co., Ltd, Beijing, China PubMed articlesGoogle scholar articles
  • Lie Ju Beijing Airdoc Technology Co., Ltd, Beijing, China Monash University, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  • Meiyan Li Department of Ophthalmology and Optometry, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China NHC Key Laboratory of Myopia, Shanghai, China Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China PubMed articlesGoogle scholar articles
  • Jing Zhao Department of Ophthalmology and Optometry, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China NHC Key Laboratory of Myopia, Shanghai, China Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China PubMed articlesGoogle scholar articles
  • Xun Chen Department of Ophthalmology and Optometry, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China NHC Key Laboratory of Myopia, Shanghai, China Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China PubMed articlesGoogle scholar articles
  • Zongyuan Ge Beijing Airdoc Technology Co., Ltd, Beijing, China Monash University, Clayton, Victoria, Australia PubMed articlesGoogle scholar articles
  • Xiaoying Wang Department of Ophthalmology and Optometry, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China NHC Key Laboratory of Myopia, Shanghai, China Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China PubMed articlesGoogle scholar articles
  • Xingtao Zhou Department of Ophthalmology and Optometry, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China NHC Key Laboratory of Myopia, Shanghai, China Shanghai Research Center of Ophthalmology and Optometry, Shanghai, China PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Xingtao Zhou, Fudan University Eye Ear Nose and Throat Hospital, Shanghai, China; doctzhouxingtao{at}163.com; Dr Xiaoying Wang; xiaoyingbbb{at}163.com
View Full Text

Citation

Shen Y, Wang L, Jian W, et al
Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction
British Journal of Ophthalmology 2023;107:201-206.

Publication history

  • Received May 9, 2021
  • Accepted August 23, 2021
  • First published September 6, 2021.
Online issue publication 
January 20, 2023

Article Versions

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Copyright information

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.