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 , KR

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

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

*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
  • KR
  • Phone: 82 2-3410-3548
  • Email: ldhlse@gmail.com