Special issue


Artificial Intelligence in Ophthalmology and Vision Science: The New Frontier

Guest Editors:
Pearse A. Keane
Michael F. Chiang

Editor in Chief: Marco A. Zarbin

Articles will be added to this issue as galley proofs are approved by the authors and the final versions are generated.

Contents

Editorials | Methodology | Applications | Articles

Editorials


Artificial Intelligence: Quo Vadis? Open Access
Marco A. Zarbin
Translational Vision Science & Technology January 2020, Vol.9, 1. https://doi.org/10.1167/tvst.9.2.1

Will AI Replace Ophthalmologists? Open Access
Edward Korot, Siegfried K. Wagner, Livia Faes, Xiaoxuan Liu, Josef Huemer, Daniel Ferraz, Pearse A. Keane, Konstantinos Balaskas
Translational Vision Science & Technology January 2020, Vol.9, 2. https://doi.org/10.1167/tvst.9.2.2

How Artificial Intelligence Can Transform Randomized Controlled Trials Open Access
Cecilia S. Lee, Aaron Y. Lee
Translational Vision Science & Technology February 2020, Vol.9, 9. https://doi.org/10.1167/tvst.9.2.9

Methodology


A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies Open Access
Livia Faes, Xiaoxuan Liu, Siegfried K. Wagner, Dun Jack Fu, Konstantinos Balaskas, Dawn A. Sim, Lucas M. Bachmann, Pearse A. Keane, Alastair K. Denniston
Translational Vision Science & Technology February 2020, Vol.9, 7. https://doi.org/10.1167/tvst.9.2.7

Applications


Artificial Intelligence in Retinopathy of Prematurity Diagnosis Open Access Open Access
Brittni A. Scruggs, R. V. Paul Chan, Jayashree Kalpathy-Cramer, Michael F. Chiang, J. Peter Campbell
Translational Vision Science & Technology February 2020, Vol.9, 5. https://doi.org/10.1167/tvst.9.2.5

Insights into Systemic Disease through Retinal Imaging-Based Oculomics Open Access
Siegfried K. Wagner, Dun Jack Fu, Livia Faes, Xiaoxuan Liu, Josef Huemer, Hagar Khalid, Daniel Ferraz, Edward Korot, Christopher Kelly, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane
Translational Vision Science & Technology February 2020, Vol.9, 6. https://doi.org/10.1167/tvst.9.2.6

Articles


Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images Open Access
Zhongwen Li, Chong Guo, Danyao Nie, Duoru Lin, Yi Zhu, Chuan Chen, Yifan Xiang, Fabao Xu, Chenjin Jin, Xiayin Zhang, Yahan Yang, Kai Zhang, Lanqin Zhao, Ping Zhang, Yu Han, Dongyuan Yun, Xiaohang Wu, Pisong Yan, Haotian Lin
Translational Vision Science & Technology January 2020, Vol.9, 3. https://doi.org/10.1167/tvst.9.2.3
Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals Open Access
Takehiro Yamashita, Ryo Asaoka, Hiroto Terasaki, Hiroshi Murata, Minoru Tanaka, Kumiko Nakao, Taiji Sakamoto
Translational Vision Science & Technology January 2020, Vol.9, 4. https://doi.org/10.1167/tvst.9.2.4

Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level Open Access
Tae Keun Yoo, Ik Hee Ryu, Hannuy Choi, Jin Kuk Kim, In Sik Lee, Jung Sub Kim, Geunyoung Lee, Tyler Hyungtaek Rim
Translational Vision Science & Technology February 2020, Vol.9, 8. https://doi.org/10.1167/tvst.9.2.8
Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach Open Access
Veysi M. Yildiz, Peng Tian, Ilkay Yildiz, James M. Brown, Jayashree Kalpathy-Cramer, Jennifer Dy, Stratis Ioannidis, Deniz Erdogmus, Susan Ostmo, Sang Jin Kim, R. V. Paul Chan, J. Peter Campbell, Michael F. Chiang, for the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) Research Consortium
Translational Vision Science & Technology February 2020, Vol.9, 10. https://doi.org/10.1167/tvst.9.2.10
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