Deep Learning Based Prediction of Myopia Control Effect in Children Treated With Overnight Orthokeratology.

Journal: Eye & contact lens
PMID:

Abstract

OBJECTIVES: To develop and validate a deep learning-based model for predicting 12-month axial length (AL) elongation using baseline factors and early corneal topographic changes in children treated with orthokeratology (Ortho-K) and to investigate the association between these factors and myopia control impact.

Authors

  • Jingwen Cao
    Key Laboratory of Universal Wireless Communications (J.C., K.N., Z.H.), Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China; Department of Ophthalmology (X.S.), the PLA General Hospital, Beijing, China; and Beijing Tongren Eye Center (L.S., H.S.), Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Ophthalmology and Visual Sciences, National Engineering Research Center for Ophthalmology, Beijing, China.
  • Xiaoming Sun
    Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China.
  • Lu Sun
    The Affiliated Mental Health Center of Jiangnan University, Wuxi Mental Health Center, Wuxi 214151, Jiangsu, China.
  • Hongxin Song
    Beijing Tongren Eye Center, Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Ophthalmology and visual Sciences, National Engineering Research Center for Ophthalmology, Beijing, China. Electronic address: songhongxin2012@163.com.
  • Kai Niu
    Key Laboratory of Universal Wireless Communations, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • ZhiQiang He
    Key Laboratory of Universal Wireless Communations, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China; College of Big Data and Information Engineering, Guizhou University, Guizhou, China. Electronic address: hezq@bupt.edu.cn.