Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25165, first published .
Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study

Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study

Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study

Bjorn Kaijun Betzler 1*, MBBS;  Henrik Hee Seung Yang 2*, MD;  Sahil Thakur 3, MS;  Marco Yu 3, PhD;  Ten Cheer Quek 3, BEng;  Zhi Da Soh 3, MPH;  Geunyoung Lee 4, MSc;  Yih-Chung Tham 2, 3, PhD;  Tien Yin Wong 2, 3, MD, PhD;  Tyler Hyungtaek Rim 2, 3*, MD, MBA;  Ching-Yu Cheng 1, 2, 3, MD, PhD

1 Yong Loo Lin School of Medicine, National University of Singapore , Singapore , SG

2 Ophthalmology and Visual Science Academic Clinical Program, Duke-NUS Medical School , Singapore , SG

3 Singapore Eye Research Institute , Singapore , SG

4 Medi Whale Inc , Seoul , KR

*these authors contributed equally

Corresponding Author:

  • Tyler Hyungtaek Rim, MD, MBA
  • Ophthalmology and Visual Science Academic Clinical Program
  • Duke-NUS Medical School
  • 8 College Rd
  • Singapore
  • SG
  • Phone: 65 65767228
  • Email: tyler.rim@snec.com.sg