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, Singapore

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

3 Singapore Eye Research Institute, Singapore, Singapore

4 Medi Whale Inc, Seoul, Republic of Korea

*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, 169857
  • Singapore
  • Phone: 65 65767228
  • Fax: 65 62252568
  • Email: tyler.rim@snec.com.sg