Modeling and Artificial Intelligence in Ophthalmology

Current Issue

Vol. 6 No. 1 (2024)
Published February 13, 2024

Modeling and Artificial Intelligence in Ophthalmology (MAIO) provides a forum for interdisciplinary approaches integrating techniques from mathematics, computer science, engineering and experimental and clinical sciences to address open problems in ophthalmology.

MAIO uses the Continuous Article Publication (CAP) model. Articles are published as soon as they are ready. 

Read more about MAIO's focus and scope.
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Original Articles

Using mathematics to avoid blindness in diabetics (Part 2): eliminating re-emergent diabetic retinopathy caused by blood thinners
Arieh Helfgott, John O. Willoughby
1-63
MAIO 122 Helfgott
Artificial intelligence in practice: measuring its medical accuracy in oculoplastics consultations
Adam J. Neuhouser, Alisha Kamboj, Ali Mokhtarzadeh, Andrew R. Harrison
1-11
MAIO 137 Neuhouser PDF
Efficient semianalytical investigation of a fractional model describing human cornea shape
Marwan Abukhaled, Yara Abukhaled
1-15
MAIO 138 Abukhaled PDF
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Call for papers: Training and education in ophthalmology and vision sciences

Projection based on data from the Department of Health Resources and Services Administration (HRSA) forecasts that Ophthalmology is one of the medical specialties with the lowest rate of projected workforce adequacy by 20351, with major geographic disparities. It's essential to develop intentional approaches to broaden and diversify access to Ophthalmology education and research, as well as inspiring young minds to join the field. Motivated by this compelling need, this special issue invites articles that focus on training and education in Ophthalmology.

Submit here

Reference
1. Berkowitz ST, Finn AP, Parikh R, Kuriyan AE, Patel S. Ophthalmology Workforce Projections in the United States, 2020 to 2035. Ophthalmology. 2023. Available from: https://doi.org/10.1016/j.ophtha.2023.09.018