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

Decision Support for Health Professionals (1213) Artificial Intelligence (1431) Clinical Information and Decision Making (1439) Imaging Informatics (202) Machine Learning (1506) Ophthalmology (48)

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 .
A Multimodal Imaging–Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study

A Multimodal Imaging–Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study

A Multimodal Imaging–Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study

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
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