Prediction of visual outcomes by an artificial neural network following intravitreal injection and laser therapy for retinopathy of prematurity.

Journal: The British journal of ophthalmology
PMID: 31744795

Abstract

AIMS: To construct a program to predict the visual acuity (VA), best corrected VA (BCVA) and spherical equivalent (SE) of patients with retinopathy of prematurity (ROP) from 3 to 12 years old after intravitreal injection (IVI) of anti-vascular endothelial growth factor and/or laser photocoagulation treatment.

Authors

  • Ching-Yen Huang
    Department of Ophthalmology, Chang Gung Memorial Hospital and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Ren-Jieh Kuo
    Department of Industrial Management, National Taiwan University of Science and Technology, No. 43, Section 4, Kee-Lung Road, Taipei 106, Taiwan. Electronic address: rjkuo@mail.ntust.edu.tw.
  • Cheng-Han Li
    Department of Industrial Management, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Daniel S Ting
    Vitreo-Retinal Department, Singapore National Eye Center, Singapore, Singapore.
  • Eugene Yu-Chuan Kang
    Department of Ophthalmology, Chang Gung Memorial Hospital and College of Medicine, Chang Gung University, Taoyuan, Taiwan.
  • Chi-Chun Lai
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333.
  • Hsiao-Jung Tseng
    Biostatistics Unit, Clinical Trial Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
  • Lan-Yan Yang
    Biostatistics Unit, Clinical Trial Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
  • Wei-Chi Wu
    Department of Ophthalmology, Chang Gung Memorial Hospital, Taoyuan, Taiwan, 333. weichi666@gmail.com.

Keywords

External Resources

Popular Topics
Recent Journals