Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16225, first published .
Deep Learning–Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study

Deep Learning–Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study

Deep Learning–Based Prediction of Refractive Error Using Photorefraction Images Captured by a Smartphone: Model Development and Validation Study

Jaehyeong Chun   1 * , BSc, MSc ;   Youngjun Kim   2 * , MD ;   Kyoung Yoon Shin   2 , MD ;   Sun Hyup Han   2 , MD ;   Sei Yeul Oh   2 , MD, PhD ;   Tae-Young Chung   2 , MD, PhD ;   Kyung-Ah Park   2 , MD, PhD ;   Dong Hui Lim   2, 3 , MD, PhD

1 Department of Industrial and System Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

2 Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

3 Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dong Hui Lim, MD, PhD
  • Department of Ophthalmology
  • Samsung Medical Center
  • Sungkyunkwan University School of Medicine
  • 81, Irwon-ro
  • Gangnam-gu
  • Seoul, 06351
  • Republic of Korea
  • Phone: 82 2-3410-3548
  • Fax: 82 2-3410-0074
  • Email: ldhlse@gmail.com