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Editorial November 2021

The 2021 National Eye Institute Strategic Plan: Driving Innovation in Eye and Vision Research

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Michael F. Chiang
TAGS: eye, vision research
Invest. Ophthalmol. Vis. Sci.. 2021; 62(14):2. doi: https://doi.org/10.1167/iovs.62.14.2

Special Issue August 2021

The NEI Audacious Goals Initiative: Advancing the Frontier of Regenerative Medicine

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Steven M. Becker; Santa J. Tumminia; Michael F. Chiang
TAGS: regenerative medicine
Trans. Vis. Sci. Tech.. 2021; 10(10):2. doi: https://doi.org/10.1167/tvst.10.10.2

Editorial July 2021

Data Science in Translational Vision Science and Technology

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Marco A. Zarbin; Aaron Y. Lee; Pearse A. Keane; Michael F. Chiang
TAGS: data science, technology, vision
Trans. Vis. Sci. Tech.. 2021; 10(8):20. doi: https://doi.org/10.1167/tvst.10.8.20

ARVO Annual Meeting Abstract June 2021

Evaluation of an Artificial Intelligence System (i-ROP DL) for Retinopathy of Prematurity Screening in Nepal using the Forus 3nethra neo and in Mongolia using the Retcam Portable ®

Tala Al-Khaled; Nita Valikodath; Emily Cole; Sanyam Bajimaya; Sagun KC; Tsengelmaa Chuluunbat; Karyn Jonas; Chimgee Chuluunkhuu; Leslie D. MacKeen; Susan Ostmo; Wei-Chi Wu; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F Chiang; J. Peter Campbell; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3269. doi:

ARVO Annual Meeting Abstract June 2021

Variability in plus disease diagnosis using single and serial retinal images

Emily Cole; Shin Hae Park; Sang Jin Kim; Kai Kang; Nita Valikodath; Tala Al-Khaled; Samir N Patel; Audina M Berrocal; Kimberly A Drenser; Aaron Nagiel; Jason David Horowitz; Thomas C Lee; Susan Ostmo; Michael F Chiang; J. Peter Campbell; Robison Vernon Paul Chan

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1929. doi:

ARVO Annual Meeting Abstract June 2021

Anterior Segment Biometric Measurements Explain Misclassifications by a Deep Learning Classifier for Detecting Gonioscopic Angle Closure

Alice Shen; Michael F Chiang; Anmol Pardeshi; Rohit Varma; Roberta McKean-Cowdin; Benjamin Xu

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1003. doi:

ARVO Annual Meeting Abstract June 2021

Cost-Effectiveness of Artificial Intelligence-Based Retinopathy of Prematurity Screening

Steven Morrison; R.V. Paul Chan; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3258. doi:

ARVO Annual Meeting Abstract June 2021

A risk model for early detection of treatment-requiring retinopathy of prematurity using a deep learning-derived vascular severity score

Aaron S Coyner; Jayashree Kalpathy-Cramer; Jimmy S Chen; Adam Hanif; Robison Vernon Paul Chan; Praveer Singh; Kemal Sonmez; Deniz Erdogmus; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3265. doi:

ARVO Annual Meeting Abstract June 2021

External validation of a deep learning algorithm for plus disease classification on a multinational ROP dataset

Praveer Singh; J. Peter Campbell; Susan Ostmo; James Brown; Szu-Yeu Hu; Nathaphop Chaichaya; Phanthipha Wongwai; Somkiat Asawaphureekorn; Sirinya Suwannaraj; Michael Morley; Parag Shah; Narendran Venkatapathy; Robison Vernon Paul Chan; Michael F Chiang; Jayashree Kalpathy-Cramer

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3266. doi:

ARVO Annual Meeting Abstract June 2021

Quantifying Oxygen Exposure for Predicting Treatment-Requiring Retinopathy of Prematurity

Jimmy S Chen; Jamie Anderson; Aaron S Coyner; Susan Ostmo; Kemal Sonmez; Deniz Erdogmus; Cynthia McEvoy; Brian Jordan; Dmitry Dukovny; Robert Schelonka; Robison Vernon Paul Chan; Praveer Singh; Jayashree Kalpathy-Cramer; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):3246. doi:

ARVO Annual Meeting Abstract June 2021

Improved training efficiency for deep learning models using disease severity comparison labels

Adam Hanif; Ilkay Yildiz; Peng Tian; Beyza Kalkanli; Deniz Erdogmus; Stratis Ioannidis; Jennifer Dy; Jayashree Kalpathy-Cramer; Susan Ostmo; Karyn Jonas; R.V. Paul Chan; Michael F Chiang; J. Peter Campbell

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):2108. doi:

ARVO Annual Meeting Abstract June 2021

Can EHR Data Automatically Calculate Ophthalmic Quality Measures?

Michelle Hribar; Jimmy S Chen; Aiyin Chen; Michael F Chiang

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1711. doi:

ARVO Annual Meeting Abstract June 2021

Electronic health record medication list accuracy in glaucoma patients

Joel Kaluzny; Wei-Chun Lin; Jimmy S Chen; Michael F Chiang; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1609. doi:

ARVO Annual Meeting Abstract June 2021

Medication List Extraction Using Natural Language Processing for Glaucoma Patients

Wei-Chun Lin; Joel Kaluzny; Jimmy S Chen; Michael F Chiang; Michelle Hribar

Invest. Ophthalmol. Vis. Sci.. 2021; 62(8):1001. doi:

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

Perspective March 2021

Artificial Intelligence to Reduce Ocular Health Disparities: Moving From Concept to Implementation

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John P. Campbell; Ciku Mathenge; Hunter Cherwek; Konstantinos Balaskas; Louis R. Pasquale; Pearse A. Keane; Michael F. Chiang; on behalf of the American Academy of Ophthalmology Task Force on Artificial Intelligence
TAGS: artificial intelligence, blindness, diabetic retinopathy, health disparity, implementation science, ophthalmology, screening, technology, glaucoma, refractive errors
Trans. Vis. Sci. Tech.. 2021; 10(3):19. doi: https://doi.org/10.1167/tvst.10.3.19

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

Articles July 2020

Ranibizumab Population Pharmacokinetics and Free VEGF Pharmacodynamics in Preterm Infants With Retinopathy of Prematurity in the RAINBOW Trial

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Matthew Fidler; Brian W. Fleck; Andreas Stahl; Neil Marlow; James E. Chastain; Jun Li; Domenico Lepore; James D. Reynolds; Michael F. Chiang; Alistair R. Fielder; on behalf of the RAINBOW study group
TAGS: infant, ranibizumab, vascular endothelial growth factor a, infant, premature, retinopathy of prematurity, pharmacodynamics
Trans. Vis. Sci. Tech.. 2020; 9(8):43. doi: https://doi.org/10.1167/tvst.9.8.43

Includes: Supplemental Content

Special Issue July 2020

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

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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
TAGS: ophthalmology, privacy, datasets
Trans. Vis. Sci. Tech.. 2020; 9(2):36. doi: https://doi.org/10.1167/tvst.9.2.36

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:

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The 2021 National Eye Institute Strategic Plan: Driving Innovation in Eye and Vision Research

The NEI Audacious Goals Initiative: Advancing the Frontier of Regenerative Medicine

Data Science in Translational Vision Science and Technology

Evaluation of an Artificial Intelligence System (i-ROP DL) for Retinopathy of Prematurity Screening in Nepal using the Forus 3nethra neo and in Mongolia using the Retcam Portable ®

Variability in plus disease diagnosis using single and serial retinal images

Anterior Segment Biometric Measurements Explain Misclassifications by a Deep Learning Classifier for Detecting Gonioscopic Angle Closure

Cost-Effectiveness of Artificial Intelligence-Based Retinopathy of Prematurity Screening

A risk model for early detection of treatment-requiring retinopathy of prematurity using a deep learning-derived vascular severity score

External validation of a deep learning algorithm for plus disease classification on a multinational ROP dataset

Quantifying Oxygen Exposure for Predicting Treatment-Requiring Retinopathy of Prematurity

Improved training efficiency for deep learning models using disease severity comparison labels

Can EHR Data Automatically Calculate Ophthalmic Quality Measures?

Electronic health record medication list accuracy in glaucoma patients

Medication List Extraction Using Natural Language Processing for Glaucoma Patients

Impact of Artificial Intelligence on Medical Education in Ophthalmology

Artificial Intelligence to Reduce Ocular Health Disparities: Moving From Concept to Implementation

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

Ranibizumab Population Pharmacokinetics and Free VEGF Pharmacodynamics in Preterm Infants With Retinopathy of Prematurity in the RAINBOW Trial

Protecting Data Privacy in the Age of AI-Enabled Ophthalmology

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

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