This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1186) Artificial Intelligence (1373) Clinical Information and Decision Making (1408) Imaging Informatics (194) Machine Learning (1466) Ophthalmology (44)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28868, first published .
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A Multimodal Imaging–Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study

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Authors of this article:

Eugene Yu-Chuan Kang1, 2 Author Orcid Image ;   Ling Yeung2, 3 Author Orcid Image ;   Yi-Lun Lee4 Author Orcid Image ;   Cheng-Hsiu Wu2, 3 Author Orcid Image ;   Shu-Yen Peng2, 3 Author Orcid Image ;   Yueh-Peng Chen4 Author Orcid Image ;   Quan-Ze Gao4 Author Orcid Image ;   Chihung Lin4 Author Orcid Image ;   Chang-Fu Kuo2, 4 Author Orcid Image ;   Chi-Chun Lai2, 3 Author Orcid Image
Article Authors Cited by (22) Tweetations (3) Metrics

Eugene Yu-Chuan Kang   1, 2 * , MD ;   Ling Yeung   2, 3 * , MD ;   Yi-Lun Lee   4 , BSc ;   Cheng-Hsiu Wu   2, 3 , MD ;   Shu-Yen Peng   2, 3 , MD ;   Yueh-Peng Chen   4 , PhD ;   Quan-Ze Gao   4 , PhD ;   Chihung Lin   4 , PhD ;   Chang-Fu Kuo   2, 4 , PhD, MD ;   Chi-Chun Lai   2, 3 , MD

1 Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan

2 College of Medicine, Chang Gung University, Taoyuan, Taiwan

3 Department of Ophthalmology, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan

4 Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan

*these authors contributed equally

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