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Perspective June 2021

Impact of Artificial Intelligence on Medical Education in Ophthalmology

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Nita G. Valikodath; Emily Cole; Daniel S. W. Ting; J. Peter Campbell; Louis R. Pasquale; Michael F. Chiang; R. V. Paul Chan; on behalf of the American Academy of Ophthalmology Task Force on Artificial Intelligence
TAGS: artificial intelligence, education, medical, ophthalmology, physicians
Trans. Vis. Sci. Tech.. 2021; 10(7):14. doi: https://doi.org/10.1167/tvst.10.7.14

Special Issue August 2020

Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient

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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
TAGS: artificial intelligence, health care systems, technology, eye, ophthalmology
Trans. Vis. Sci. Tech.. 2020; 9(2):45. doi: https://doi.org/10.1167/tvst.9.2.45

ARVO Annual Meeting Abstract June 2020

Factors associated with visual outcomes and treatment discontinuation in eyes with retinal vein occlusion and macular edema in real-world settings

Therlinder Lo; Daniella Lent-Schochet; Kieu-Yen Luu; Ajay E. Kuriyan; Menachem Y. Weiss; Aleksandra Rachitskaya; Rishi P Singh; Karen Michelle Wai; J. Peter Campbell; Kishan Gupta; Eric Nudleman; Kevin C. Chen; Glenn Yiu

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1314. doi:

ARVO Annual Meeting Abstract June 2020

Cost-Utility Analyses of Artificial Intelligence, Telemedicine, and Standard Ophthalmoscopy for Retinopathy of Prematurity Screening

Steven L. Morrison; J. Peter Campbell; Kemal Sonmez; Susan Ostmo; Neal Wallace; Thuan Nguyen; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2192. doi:

ARVO Annual Meeting Abstract June 2020

Characterization of response to treatment in infants with retinopathy of prematurity in the ROPE-SOS trial in rural India

Abdullah Memon; Nita Valikodath; Emily Cole; Tala Al-Khaled; Rawan Allozi Rupnow; Joelle Hallak; J. Peter Campbell; Michael F. Chiang; Parag Shah; Narendran Venkatapathy; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2196. doi:

ARVO Annual Meeting Abstract June 2020

Utility of an automated deep learning tool in a low-income country for retinopathy of prematurity

Nita Valikodath; Emily Cole; Tala Al-Khaled; Sanyam Bajimaya; Sagun K.C.; Asha Basnyat; Dale Davis; Nick Kourgialis; Eli Pradhan; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F. Chiang; J. Peter Campbell; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1637. doi:

ARVO Annual Meeting Abstract June 2020

Retinal Fundus Image Generation in Retinopathy of Prematurity Using Autoregressive Generative Models

Aaron S Coyner; J. Peter Campbell; Jayashree Kalpathy-Cramer; Praveer Singh; Kemal Sonmez; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2166. doi:

ARVO Annual Meeting Abstract June 2020

Automated Assessment of Stage in Retinopathy of Prematurity using Deep Learning

Jimmy N/A Chen; J. Peter Campbell; Susan Ostmo; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2775. doi:

ARVO Annual Meeting Abstract June 2020

Evaluation of physician perspectives of artificial intelligence in ophthalmology: a pilot study

Tala Al-Khaled; Nita Valikodath; Emily Cole; Joelle Hallak; J. Peter Campbell; Michael F. Chiang; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2023. doi:

ARVO Annual Meeting Abstract June 2020

Analysis of the relationship between retinopathy of prematurity zone, stage, extent and a deep learning-based vascular severity scale

J. Peter Campbell; Robison Vernon Paul Chan; Susan Ostmo; Jamie Anderson; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F. Chiang

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2193. doi:

Special Issue February 2020

Introduction to Machine Learning, Neural Networks, and Deep Learning

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Rene Y. Choi; Aaron S. Coyner; Jayashree Kalpathy-Cramer; Michael F. Chiang; J. Peter Campbell
TAGS: deep learning, learning, machine learning, datasets
Trans. Vis. Sci. Tech.. 2020; 9(2):14. doi: https://doi.org/10.1167/tvst.9.2.14

Special Issue February 2020

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach

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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
TAGS: convolutional neural networks, datasets, retinopathy of prematurity, optic disk
Trans. Vis. Sci. Tech.. 2020; 9(2):10. doi: https://doi.org/10.1167/tvst.9.2.10

Includes: Supplemental Content

Special Issue February 2020

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

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Brittni A. Scruggs; R. V. Paul Chan; Jayashree Kalpathy-Cramer; Michael F. Chiang; J. Peter Campbell
TAGS: artificial intelligence, retinopathy of prematurity
Trans. Vis. Sci. Tech.. 2020; 9(2):5. doi: https://doi.org/10.1167/tvst.9.2.5

ARVO Annual Meeting Abstract July 2019

Retinopathy of Prematurity screening criteria based on the ROPE-SOS trial in India

Nita Valikodath; Robison Vernon Paul Chan; Flavius Beca; Mohammed Mowafak Rami Allaham; Emily Cole; Joelle Hallak; J. Peter Campbell; Michael F Chiang; Parag Shah; Narendran Venkatapathy

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6522. doi:

ARVO Annual Meeting Abstract July 2019

Telemedicine for ROP Diagnosis in a Real-World System: Technical Description and Evaluation

Ian Danford; Miles F Greenwald; Susan Ostmo; Robert Schelonka; Howard S Cohen; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):6531. doi:

ARVO Annual Meeting Abstract July 2019

Machine Learning for Prediction of Retinopathy of Prematurity Fundus Image Quality from Clinical Data

Aaron S Coyner; J. Peter Campbell; Susan Ostmo; Sang Jin Kim; Karyn E Jonas; RV Paul Chan; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1525. doi:

ARVO Annual Meeting Abstract July 2019

Quantitative analysis of aggressive posterior retinopathy of prematurity using deep learning

Kellyn N Smith; Sang Jin Kim; Isaac Goldstein; Susan Ostmo; RV Paul Chan; James Martin Brown; Jayashree Kalpathy-Cramer; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4759. doi:

ARVO Annual Meeting Abstract July 2019

Telemedicine for ROP Diagnosis in a Real-World System: Feasibility of Implementing Artificial Intelligence for Disease Screening

Miles F Greenwald; Ian Danford; Malika Shahrawat; Susan Ostmo; James Martin Brown; Jayashree Kalpathy-Cramer; Robert Schelonka; Howard S Cohen; J. Peter Campbell; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):1526. doi:

ARVO Annual Meeting Abstract July 2019

iTeleGEN: Development of a Web-Based Diabetic Retinopathy Education Module

Emily Cole; Flavius Beca; Gerardo Ledesma Gil; Daniel Oh; Andrew Zolot; Sarwar Zahid; Ru-ik Chee; Nicole K. Scripsema; Nita Valikodath; Angelica C. Scanzera; Karyn E Jonas; Jennifer I Lim; Judy E Kim; J. Peter Campbell; Michael F Chiang; RV Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5307. doi:

ARVO Annual Meeting Abstract July 2019

A Proposed 1 to 9 Severity Scale for Vascular Abnormalities in Retinopathy of Prematurity

Sang Jin Kim; J. Peter Campbell; James Martin Brown; Susan Ostmo; Robison Vernon Paul Chan; Jayashree Kalpathy-Cramer; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):4757. doi:

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Impact of Artificial Intelligence on Medical Education in Ophthalmology

Current Challenges and Barriers to Real-World Artificial Intelligence Adoption for the Healthcare System, Provider, and the Patient

Factors associated with visual outcomes and treatment discontinuation in eyes with retinal vein occlusion and macular edema in real-world settings

Cost-Utility Analyses of Artificial Intelligence, Telemedicine, and Standard Ophthalmoscopy for Retinopathy of Prematurity Screening

Characterization of response to treatment in infants with retinopathy of prematurity in the ROPE-SOS trial in rural India

Utility of an automated deep learning tool in a low-income country for retinopathy of prematurity

Retinal Fundus Image Generation in Retinopathy of Prematurity Using Autoregressive Generative Models

Automated Assessment of Stage in Retinopathy of Prematurity using Deep Learning

Evaluation of physician perspectives of artificial intelligence in ophthalmology: a pilot study

Analysis of the relationship between retinopathy of prematurity zone, stage, extent and a deep learning-based vascular severity scale

Introduction to Machine Learning, Neural Networks, and Deep Learning

Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

Retinopathy of Prematurity screening criteria based on the ROPE-SOS trial in India

Telemedicine for ROP Diagnosis in a Real-World System: Technical Description and Evaluation

Machine Learning for Prediction of Retinopathy of Prematurity Fundus Image Quality from Clinical Data

Quantitative analysis of aggressive posterior retinopathy of prematurity using deep learning

Telemedicine for ROP Diagnosis in a Real-World System: Feasibility of Implementing Artificial Intelligence for Disease Screening

iTeleGEN: Development of a Web-Based Diabetic Retinopathy Education Module

A Proposed 1 to 9 Severity Scale for Vascular Abnormalities in Retinopathy of Prematurity

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