Special issue


Artificial Intelligence in Ophthalmology, Optometry 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

The AI Revolution and How to Prepare for It Open Access
Joelle A. Hallak, Dimitri T. Azar
Translational Vision Science & Technology March 2020, Vol.9, 16. https://doi.org/10.1167/tvst.9.2.16

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology Open Access
Elysse Tom, Pearse A. Keane, Marian Blazes, Louis R. Pasquale, Michael F. Chiang, Aaron Y. Lee, Cecilia S. Lee, and AAO Artificial Intelligence Task Force
Translational Vision Science & Technology July 2020, Vol.9, 36. https://doi.org/10.1167/tvst.9.2.36

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

Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review Open Access
Ryan T. Yanagihara, Cecilia S. Lee, Daniel Shu Wei Ting, Aaron Y. Lee
Translational Vision Science & Technology February 2020, Vol.9, 11. https://doi.org/10.1167/tvst.9.2.11

Introduction to Machine Learning, Neural Networks, and Deep Learning Open Access
Rene Y. Choi, Aaron S. Coyner, Jayashree Kalpathy-Cramer, Michael F. Chiang, J. Peter Campbell
Translational Vision Science & Technology February 2020, Vol.9, 14. https://doi.org/10.1167/tvst.9.2.14

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

Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology Open Access
Wei-Chun Lin, Jimmy S. Chen, Michael F. Chiang, Michelle R. Hribar
Translational Vision Science & Technology February 2020, Vol.9, 13. https://doi.org/10.1167/tvst.9.2.13

Artificial Intelligence Mapping of Structure to Function in Glaucoma Open Access
Eduardo B. Mariottoni, Shounak Datta, David Dov, Alessandro A. Jammal, Samuel I. Berchuck, Ivan M. Tavares, Lawrence Carin, Felipe A. Medeiros
Translational Vision Science & Technology March 2020, Vol.9, 19. https://doi.org/10.1167/tvst.9.2.19

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening Open Access
Yuchen Xie, Dinesh V. Gunasekeran, Konstantinos Balaskas, Pearse A. Keane, Dawn A. Sim, Lucas M. Bachmann, Carl Macrae, Daniel S. W. Ting
Translational Vision Science & Technology April 2020, Vol.9, 22. https://doi.org/10.1167/tvst.9.2.22

A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression Open Access
Atalie C. Thompson, Alessandro A. Jammal, Felipe A. Medeiros
Translational Vision Science & Technology July 2020, Vol.9, 42. https://doi.org/10.1167/tvst.9.2.42

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

A 3D Deep Learning System for Detecting Referable Glaucoma Using Full OCT Macular Cube Scans Open Access
Daniel B. Russakoff, Suria S. Mannil, Jonathan D. Oakley, An Ran Ran, Carol Y. Cheung, Srilakshmi Dasari, Mohammed Riyazzuddin, Sriharsha Nagaraj, Harsha L. Rao, Dolly Chang, Robert T. Chang
Translational Vision Science & Technology February 2020, Vol.9, 12. https://doi.org/10.1167/tvst.9.2.12

Application of a Deep Machine Learning Model for Automatic Measurement of EZ Width in SD-OCT Images of RP Open Access
Yi-Zhong Wang, Daniel Galles, Martin Klein, Kirsten G. Locke, David G. Birch
Translational Vision Science & Technology March 2020, Vol.9, 15. https://doi.org/10.1167/tvst.9.2.15

A Deep-Learning Approach for Automated OCT En-Face Retinal Vessel Segmentation in Cases of Optic Disc Swelling Using Multiple En-Face Images as Input Open Access
Mohammad Shafkat Islam, Jui-Kai Wang, Samuel S. Johnson, Matthew J. Thurtell, Randy H. Kardon, Mona K. Garvin
Translational Vision Science & Technology March 2020, Vol.9, 17. https://doi.org/10.1167/tvst.9.2.17

Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study Open Access
Benjamin Y. Xu, Michael Chiang, Anmol A. Pardeshi, Sasan Moghimi, Rohit Varma
Translational Vision Science & Technology March 2020, Vol.9, 18. https://doi.org/10.1167/tvst.9.2.18

Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography Open Access
Morgan Heisler, Sonja Karst, Julian Lo, Zaid Mammo, Timothy Yu, Simon Warner, David Maberley, Mirza Faisal Beg, Eduardo V. Navajas, Marinko V. Sarunic
Translational Vision Science & Technology April 2020, Vol.9, 20. https://doi.org/10.1167/tvst.9.2.20

Fast and Automated Hyperreflective Foci Segmentation Based on Image Enhancement and Improved 3D U-Net in SD-OCT Volumes with Diabetic Retinopathy Open Access
Sha Xie, Idowu Paul Okuwobi, Mingchao Li, Yuhan Zhang, Songtao Yuan, Qiang Chen
Translational Vision Science & Technology April 2020, Vol.9, 21. https://doi.org/10.1167/tvst.9.2.21

DeshadowGAN: A Deep Learning Approach to Remove Shadows from Optical Coherence Tomography Images Open Access
Haris Cheong, Sripad Krishna Devalla, Tan Hung Pham, Liang Zhang, Tin Aung Tun, Xiaofei Wang, Shamira Perera, Leopold Schmetterer, Tin Aung, Craig Boote, Alexandre Thiery, Michaël J. A. Girard
Translational Vision Science & Technology April 2020, Vol.9, 23. https://doi.org/10.1167/tvst.9.2.23

Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus Open Access
Ke Cao, Karin Verspoor, Srujana Sahebjada, Paul N. Baird
Translational Vision Science & Technology April 2020, Vol.9, 24. https://doi.org/10.1167/tvst.9.2.24

Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD Open Access
Alauddin Bhuiyan, Tien Yin Wong, Daniel Shu Wei Ting, Arun Govindaiah, Eric H. Souied, R. Theodore Smith
Translational Vision Science & Technology April 2020, Vol.9, 25. https://doi.org/10.1167/tvst.9.2.25

Performance of Classification Systems for Age-Related Macular Degeneration in the Rotterdam Study Open Access
Eric F. Thee, Magda A. Meester-Smoor, Daniel T. Luttikhuizen, Johanna M. Colijn, Clair A. Enthoven, Annechien E. G. Haarman, Dimitris Rizopoulos, Caroline C. W. Klaver, for the EyeNED Reading Center
Translational Vision Science & Technology April 2020, Vol.9, 26. https://doi.org/10.1167/tvst.9.2.26

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms Open Access
Mark Christopher, Kenichi Nakahara, Christopher Bowd, James A. Proudfoot, Akram Belghith, Michael H. Goldbaum, Jasmin Rezapour, Robert N. Weinreb, Massimo A. Fazio, Christopher A. Girkin, Jeffrey M. Liebmann, Gustavo De Moraes, Hiroshi Murata, Kana Tokumo, Naoto Shibata, Yuri Fujino, Masato Matsuura, Yoshiaki Kiuchi, Masaki Tanito, Ryo Asaoka, Linda M. Zangwill
Translational Vision Science & Technology April 2020, Vol.9, 27. https://doi.org/10.1167/tvst.9.2.27

Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms Open Access
Jaemin Son, Joo Young Shin, Eun Ju Chun, Kyu-Hwan Jung, Kyu Hyung Park, Sang Jun Park
Translational Vision Science & Technology May 2020, Vol.9, 28. https://doi.org/10.1167/tvst.9.2.28
Assessment of Generative Adversarial Networks Model for Synthetic Optical Coherence Tomography Images of Retinal Disorders Open Access
Ce Zheng, Xiaolin Xie, Kang Zhou, Bang Chen, Jili Chen, Haiyun Ye, Wen Li, Tong Qiao, Shenghua Gao, Jianlong Yang, Jiang Liu
Translational Vision Science & Technology May 2020, Vol.9, 29. https://doi.org/10.1167/tvst.9.2.29
EMKLAS: A New Automatic Scoring System for Early and Mild Keratoconus Detection Open Access
Jose S. Velázquez-Blázquez, José M. Bolarín, Francisco Cavas-Martínez, Jorge L. Alió
Translational Vision Science & Technology May 2020, Vol.9, 30. https://doi.org/10.1167/tvst.9.2.30

Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks Open Access
Qitong Gao, Ying Xu, Joshua Amason, Anna Loksztejn, Scott Cousins, Miroslav Pajic, Majda Hadziahmetovic
Translational Vision Science & Technology June 2020, Vol.9, 31. https://doi.org/10.1167/tvst.9.2.31

A Deep Learning Model for Automated Sub-Basal Corneal Nerve Segmentation and Evaluation Using In Vivo Confocal Microscopy Open Access
Shanshan Wei, Faqiang Shi, Yuexin Wang, Yilin Chou, Xuemin Li
Translational Vision Science & Technology June 2020, Vol.9, 32. https://doi.org/10.1167/tvst.9.2.32

A Retrospective Comparison of Deep Learning to Manual Annotations for Optic Disc and Optic Cup Segmentation in Fundus Photographs Open Access
Huazhu Fu, Fei Li, Yanwu Xu, Jingan Liao, Jian Xiong, Jianbing Shen, Jiang Liu, Xiulan Zhang, for iChallenge-GON study group
Translational Vision Science & Technology June 2020, Vol.9, 33. https://doi.org/10.1167/tvst.9.2.33

Non-uniform Label Smoothing for Diabetic Retinopathy Grading from Retinal Fundus Images with Deep Neural Networks Open Access
Adrian Galdran, Jihed Chelbi, Riadh Kobi, José Dolz, Hervé Lombaert, Ismail ben Ayed, Hadi Chakor
Translational Vision Science & Technology June 2020, Vol.9, 34. https://doi.org/10.1167/tvst.9.2.34

Transfer Learning for Automated OCTA Detection of Diabetic Retinopathy Open Access
David Le, Minhaj Alam, Cham K. Yao, Jennifer I. Lim, Yi-Ting Hsieh, Robison V. P. Chan, Devrim Toslak, Xincheng Yao
Translational Vision Science & Technology July 2020, Vol.9, 35. https://doi.org/10.1167/tvst.9.2.35

Convolutional Neural Network Based on Fluorescein Angiography Images for Retinopathy of Prematurity Management Open Access
Domenico Lepore, Marco H. Ji, Monica M. Pagliara, Jacopo Lenkowicz, Nikola D. Capocchiano, Luca Tagliaferri, Luca Boldrini, Vincenzo Valentini, Andrea Damiani for the FA Team of the Italian ROP Study Group
Translational Vision Science & Technology July 2020, Vol.9, 37. https://doi.org/10.1167/tvst.9.2.37

Microvasculature Segmentation and Intercapillary Area Quantification of the Deep Vascular Complex Using Transfer Learning Open Access
Julian Lo, Morgan Heisler, Vinicius Vanzan, Sonja Karst, Ivana Zadro Matovinović, Sven Lončarić, Eduardo V. Navajas, Mirza Faisal Beg, Marinko V. Šarunić
Translational Vision Science & Technology July 2020, Vol.9, 38. https://doi.org/10.1167/tvst.9.2.38

Ophthalmologist-Level Classification of Fundus Disease With Deep Neural Networks Open Access
Ping Jiang, Quansheng Dou, Li Shi
Translational Vision Science & Technology July 2020, Vol.9, 39. https://doi.org/10.1167/tvst.9.2.39

Cone Identification in Choroideremia: Repeatability, Reliability, and Automation Through Use of a Convolutional Neural Network Open Access
Jessica I. W. Morgan, Min Chen, Andrew M. Huang, Yu You Jiang, Robert F. Cooper
Translational Vision Science & Technology July 2020, Vol.9, 40. https://doi.org/10.1167/tvst.9.2.40

Leveraging Multimodal Deep Learning Architecture with Retina Lesion Information to Detect Diabetic Retinopathy Open Access
Vincent S. Tseng, Ching-Long Chen, Chang-Min Liang, Ming-Cheng Tai, Jung-Tzu Liu, Po-Yi Wu, Ming-Shan Deng, Ya-Wen Lee, Teng-Yi Huang, Yi-Hao Chen
Translational Vision Science & Technology July 2020, Vol.9, 41. https://doi.org/10.1167/tvst.9.2.41

Automatic Segmentation of Retinal Capillaries in Adaptive Optics Scanning Laser Ophthalmoscope Perfusion Images Using a Convolutional Neural Network Open Access
Gwen Musial, Hope M. Queener, Suman Adhikari, Hanieh Mirhajianmoghadam, Alexander W. Schill, Nimesh B. Patel, Jason Porter
Translational Vision Science & Technology July 2020, Vol.9, 43. https://doi.org/10.1167/tvst.9.2.43

Evidence Based Prediction and Progression Monitoring on Retinal Images from Three Nations Open Access
Lutfiah Al Turk, Su Wang, Paul Krause, James Wawrzynski, George M. Saleh, Hend Alsawadi, Abdulrahman Zaid Alshamrani, Tunde Peto, Andrew Bastawrous, Jingren Li, Hongying Lilian Tang
Translational Vision Science & Technology August 2020, Vol.9, 44. https://doi.org/10.1167/tvst.9.2.44

Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient Open Access
Rishi P. Singh, Grant L. Hom, Michael D. Abramoff, J. Peter Campbell, Michael F. Chiang, on behalf of the AAO Task Force on Artificial Intelligence
Translational Vision Science & Technology August 2020, Vol.9, 45. https://doi.org/10.1167/tvst.9.2.45

An Intelligent Optical Coherence Tomography-based System for Pathological Retinal Cases Identification and Urgent Referrals Open Access
Lilong Wang, Guanzheng Wang, Meng Zhang, Dongyi Fan, Xiaoqiang Liu, Yan Guo, Rui Wang, Bin Lv, Chuanfeng Lv, Jay Wei, Xinghuai Sun, Guotong Xie, Min Wang
Translational Vision Science & Technology August 2020, Vol.9, 46. https://doi.org/10.1167/tvst.9.2.46

Predicting Thioflavin Fluorescence of Retinal Amyloid Deposits Associated With Alzheimer's Disease from Their Polarimetric Properties Open Access
Yunyi Qiu, Tao Jin, Erik Mason, Melanie C. W. Campbell
Translational Vision Science & Technology August 2020, Vol.9, 47. https://doi.org/10.1167/tvst.9.2.47

Quantifying Graft Detachment after Descemet's Membrane Endothelial Keratoplasty with Deep Convolutional Neural Networks Open Access
Friso G. Heslinga, Mark Alberti, Josien P. W. Pluim, Javier Cabrerizo, Mitko Vetal
Translational Vision Science & Technology August 2020, Vol.9, 48. https://doi.org/10.1167/tvst.9.2.48

Deep Learning for Assessing the Corneal Endothelium from Specular Microscopy Images up to 1 Year after Ultrathin-DSAEK Surgery Open Access
Juan P. Vigueras-Guillén, Jeroen van Rooij, Angela Engel, Hans G. Lemij, Lucas J. van Vliet, Koenraad A. Vermeer
Translational Vision Science & Technology August 2020, Vol.9, 49. https://doi.org/10.1167/tvst.9.2.49

Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections Open Access
Hongrun Zhang, Helen Kalirai, Amelia Acha-Sagredo, Xiaoyun Yang, Yalin Zheng, Sarah E. Coupland
Translational Vision Science & Technology September 2020, Vol.9, 50. https://doi.org/10.1167/tvst.9.2.50
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×