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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

Articles December 2020

Structure–Function Analysis in Macular Drusen With Mesopic and Scotopic Microperimetry

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Giovanni Montesano; Giovanni Ometto; Bethany E. Higgins; Costanza Iester; Konstantinos Balaskas; Adnan Tufail; Usha Chakravarthy; Ruth E. Hogg; David P. Crabb

Trans. Vis. Sci. Tech.. 2020; 9(13):43. doi: https://doi.org/10.1167/tvst.9.13.43

ARVO Annual Meeting Abstract June 2020

Progression of Retinopathy Secondary to Maternally Inherited Diabetes and Deafness

Philipp Mueller; Tim Treis; Maximilian Pfau; Simona Degli Esposti; Abdulrahman Alsaedi; Peter Maloca; Konstantinos Balaskas; Andrew Webster; Catherine A Egan; Adnan Tufail

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1057. doi:

ARVO Annual Meeting Abstract June 2020

Quantitative analysis of change in retinal tissues in neovascular age-related macular degeneration using artificial intelligence

Reena Chopra; Gabriella Moraes; Dun Jack Fu; Siegfried Wagner; Terry Spitz; Marc Wilson; Jason Yim; Jim Winkens; Jeffrey De Fauw; Joseph R Ledsam; Christopher J Kelly; Tiarnan D L Keenan; Praveen J Patel; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1152. doi:

ARVO Annual Meeting Abstract June 2020

Automatic segmentation using artificial intelligence of baseline anatomical parameters of patients starting anti-VEGF injections for neovascular age-related macular degeneration

Gabriella Moraes; Reena Chopra; Dun Jack Fu; Siegfried Wagner; Terry Spitz; Marc Wilson; Jason Yim; Jim Winkens; Jeffrey De Fauw; Joseph R Ledsam; Christopher J Kelly; Tiarnan D L Keenan; Praveen J Patel; Konstantinos Balaskas; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1633. doi:

ARVO Annual Meeting Abstract June 2020

Automated classification of Retinopathy of Prematurity RetCam images using the Apple CreateML platform: gradeable versus ungradeable image classification

Konstantinos Balaskas; Pearse Andrew Keane; Siegfried Wagner; Gongyu Zhang; Livia Faes; Meera Radia; Nikolas Pontikos; Edward Korot; Gabriella Moraes; Hagar Khalid; Gill Adams

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2026. doi:

ARVO Annual Meeting Abstract June 2020

Automated Machine Learning Model for Fundus Photo Gradeability and Laterality: A Public ML Research Toolkit Sans-coding

Siegfried Wagner; Edward Korot; Hagar Khalid; Tjebo Heeren; Daniel Ferraz; Zeyu Guan; Gongyu Zhang; Josef Christian Huemer; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2029. doi:

ARVO Annual Meeting Abstract June 2020

Anatomical changes influencing treatment outcome in neovascular age related macular degeneration over ten-years follow up

Mohammed Aamir Ismailjee; Cristina Arpa; Hagar Khalid; Dun Jack Fu; Giovanni Montesano; Reena Chopra; Livia Faes; Gabriella Moraes; Siegfried Wagner; daniel Araujo ferraz; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4232. doi:

ARVO Annual Meeting Abstract June 2020

Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning

Gongyu Zhang; Zeyu Guan; Edward Korot; Reena Chopra; Gabriella Moraes; Siegfried Wagner; Livia Faes; Dun Jack Fu; Hagar Khalid; daniel Araujo ferraz; Konstantinos Balaskas; Daniel Alexander; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):1628. doi:

ARVO Annual Meeting Abstract June 2020

AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding

Edward Korot; Siegfried Wagner; Livia Faes; Dun Jack Fu; Xiaoxuan Liu; Daniel Ferraz; Hagar Khalid; Reena Chopra; Gabriella Moraes; Gongyu Zhang; Zeyu Guan; Konstantinos Balaskas; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):2025. doi:

ARVO Annual Meeting Abstract June 2020

Phenotypic Characterization of Choroidal Neovascularization in Pachychoroid Spectrum Using Multi-modal Imaging

Hagar Khalid; Josef Christian Huemer; Shruti Chandra; Luke Nicholson; Siegfried Wagner; Daniel Ferraz; Farid Afshar; Katrin Fasler; Konstantinos Balaskas; Sobha Sivaprasad; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3235. doi:

ARVO Annual Meeting Abstract June 2020

Structure-Function Model for Intermediate Age-Related Macular Degeneration Microperimetry Data

Bethany Elora Higgins; Giovanni Montesano; Konstantinos Balaskas; Timos Naskas; Frank Kee; Usha Chakravarthy; Ruth E Hogg; David P. Crabb

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):3241. doi:

ARVO Annual Meeting Abstract June 2020

Ten-year visual outcomes in patients with treated neovascular age related macular degeneration receiving anti-VEGF therapy

Noha Soliman; Cristina Arpa; Hagar Khalid; Dun Jack Fu; Giovanni Montesano; Reena Chopra; Livia Faes; Gabriella Moraes; Siegfried Wagner; Daniel Ferraz; Zeyu Guan; Konstantinos Balaskas; Pearse Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4231. doi:

ARVO Annual Meeting Abstract June 2020

Choroidal neovascularization mimics in chronic central serous chorioretinopathy; an optical coherence tomography angiography study.

Laxmi Raja; Hagar Khalid; Josef Christian Huemer; Shruti Chandra; Luke Nicholson; Siegfried Wagner; Daniel Ferraz; Ahmed M Hagag; Dawn A Sim; Konstantinos Balaskas; Sobha Sivaprasad; Gongyu Zhang; Pearse Andrew Keane

Invest. Ophthalmol. Vis. Sci.. 2020; 61(7):4811. doi:

Special Issue April 2020

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening

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Yuchen Xie; Dinesh V. Gunasekeran; Konstantinos Balaskas; Pearse A. Keane; Dawn A. Sim; Lucas M. Bachmann; Carl Macrae; Daniel S. W. Ting
TAGS: safety, screening, health, diabetic retinopathy screening, artificial intelligence, economics
Trans. Vis. Sci. Tech.. 2020; 9(2):22. doi: https://doi.org/10.1167/tvst.9.2.22

Special Issue February 2020

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

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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
TAGS: cardiovascular diseases, diagnostic imaging, eye, systemic disease, neurodegenerative disorders, dementia, datasets
Trans. Vis. Sci. Tech.. 2020; 9(2):6. doi: https://doi.org/10.1167/tvst.9.2.6

Special Issue February 2020

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

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Livia Faes; Xiaoxuan Liu; Siegfried K. Wagner; Dun Jack Fu; Konstantinos Balaskas; Dawn A. Sim; Lucas M. Bachmann; Pearse A. Keane; Alastair K. Denniston
TAGS: artificial intelligence, datasets, machine learning
Trans. Vis. Sci. Tech.. 2020; 9(2):7. doi: https://doi.org/10.1167/tvst.9.2.7

Special Issue January 2020

Will AI Replace Ophthalmologists?

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Edward Korot; Siegfried K. Wagner; Livia Faes; Xiaoxuan Liu; Josef Huemer; Daniel Ferraz; Pearse A. Keane; Konstantinos Balaskas
TAGS: ophthalmologists
Trans. Vis. Sci. Tech.. 2020; 9(2):2. doi: https://doi.org/10.1167/tvst.9.2.2

ARVO Annual Meeting Abstract July 2019

Fundus autofluorescence in macular telangiectasia type 2

Peter Charbel Issa; Laurenz Pauleikhoff; Tjebo Heeren; Konstantinos Balaskas; Catherine A Egan

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5001. doi:

ARVO Annual Meeting Abstract July 2019

To Compare Patient Satisfaction In Two Different Medical Retina Clinic Settings: Face-to-Face Versus Virtual Clinic

Meriam Islam; Christoph Kern; Karsten Ulrich Kortuem; Konstantinos Balaskas; Pearse Andrew Keane; Dawn A Sim

Invest. Ophthalmol. Vis. Sci.. 2019; 60(9):5438. doi:

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

Structure–Function Analysis in Macular Drusen With Mesopic and Scotopic Microperimetry

Progression of Retinopathy Secondary to Maternally Inherited Diabetes and Deafness

Quantitative analysis of change in retinal tissues in neovascular age-related macular degeneration using artificial intelligence

Automatic segmentation using artificial intelligence of baseline anatomical parameters of patients starting anti-VEGF injections for neovascular age-related macular degeneration

Automated classification of Retinopathy of Prematurity RetCam images using the Apple CreateML platform: gradeable versus ungradeable image classification

Automated Machine Learning Model for Fundus Photo Gradeability and Laterality: A Public ML Research Toolkit Sans-coding

Anatomical changes influencing treatment outcome in neovascular age related macular degeneration over ten-years follow up

Optimising Treatment of Neovascular Age-related Macular Degeneration using Reinforcement Learning

AI building AI: Deep Learning Detection of Referable Diabetic Retinopathy Sans-coding

Phenotypic Characterization of Choroidal Neovascularization in Pachychoroid Spectrum Using Multi-modal Imaging

Structure-Function Model for Intermediate Age-Related Macular Degeneration Microperimetry Data

Ten-year visual outcomes in patients with treated neovascular age related macular degeneration receiving anti-VEGF therapy

Choroidal neovascularization mimics in chronic central serous chorioretinopathy; an optical coherence tomography angiography study.

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening

Insights into Systemic Disease through Retinal Imaging-Based Oculomics

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

Will AI Replace Ophthalmologists?

Fundus autofluorescence in macular telangiectasia type 2

To Compare Patient Satisfaction In Two Different Medical Retina Clinic Settings: Face-to-Face Versus Virtual Clinic

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