Vol. 3 No. 1 (2021): Modeling and Artificial Intelligence in Ophthalmology | Modeling and Artificial Intelligence in Ophthalmology

Editorial

Letter from the Editors

Alon Harris, Giovanna Guidoboni

4-5

https://doi.org/10.35119/maio.v3i1.119

Letter from the Editors 3-1

What will AI Ophthalmology v2.0 look like?

Louis R. Pasquale

6-9

https://doi.org/10.35119/maio.v3i1.120

Editorial 3-1

Original Articles

A physiologically based model to capture species-dependent differences in oxygen distribution in the posterior eye

Carrie German, Alex Boyer, Andrzej Przekwas, Suzy El Bader, Antonio Cabal

10-42

https://doi.org/10.35119/maio.v3i1.111

111 PDF

Comparison of inner macular thickness and superficial macular capillary vessel density acquired using classic and high-definition optical coherence tomography angiography scans

Gabor Hollo

43-54

https://doi.org/10.35119/maio.v3i1.112

112 PDF

Automatic detection of the cornea location in video captures of fluorescence

Tobin Driscoll, Richard J. Braun, Carolyn G. Begley

55-70

https://doi.org/10.35119/maio.v3i1.113

113 PDF

Mechanistic determination of tear film thinning via fitting simplified models to tear breakup

Rayanne A. Luke, Richard J. Braun, Carolyn G. Begley

71-100

https://doi.org/10.35119/maio.v3i1.114

114 PDF

Review Articles

Cloud-based genomics pipelines for ophthalmology: reviewed from research to clinical practice

David C.S. Wong, Maximiliano Olivera, Jing Yu, Anita Szabo, Ismail Moghul, Konstantinos Balaskas, Robert Luben, Anthony P. Khawaja, Nikolas Pontikos, Pearse A. Keane

101-140

https://doi.org/10.35119/maio.v3i1.115

115 PDF