About the Journal

Focus and Scope

While the rapid advance of imaging technologies in ophthalmology is making available a continually increasing number of data, the interpretation of such data is still very challenging and this hinders the advance in the understanding of ocular diseases and their treatment. Interdisciplinary approaches encompassing ophthalmology, physiology, mathematics, engineering,  and computer science have shown great capabilities in data analysis and interpretation for advancing basic and applied clinical sciences. Modeling and Artificial Intelligence in Ophthalmology (MAIO) was created with the aim of providing a forum for interdisciplinary approaches integrating mathematical and computational methods with experimental and clinical studies to address open problems in ophthalmology. MAIO welcomes articles that investigate questions related to the anatomy, physiology and function of the eye in health and disease. The objectives of MAIO are:

  • To provide a platform for the publication of techniques involving modeling and artificial intelligence applied to ophthalmology.

  • To strengthen bridges across disciplines and disseminate information regarding open questions and novel interdisciplinary approaches to scientists with interests in ophthalmology, physiology, mathematics, engineering, and computer science.

  • To promote interdisciplinary collaborations that can deepen the understanding of ocular diseases and improve the care of patients.

Authors are encouraged to address the multi-disciplinary MAIO audience by explaining the details of their approach as well as the scientific and clinical relevance of the results. MAIO publishes full research articles, abstracts, and editorials.

Topics of interest to the journal include, but are not limited to:

  • Biomechanics of ocular structures and fluids;

  • Biophysics of ocular metabolism;

  • Machine learning, deep learning, neural networks with application in ophthalmology;

  • Models for epidemiology and risk analysis;

  • New techniques for data analysis and visualization;

  • New techniques for disease prediction, including the use of genomic data;

  • New animal models of complex eye disease.

Peer Review Process

All contributions submitted to the journal are peer-reviewed.
Please make sure to read the Author Guidelines before submitting a manuscript.

Upon receipt of the manuscript, the Chief Editors (CEs) will decide whether the article fits within the scope of the Journal for Modeling in Ophthalmology. The CEs then assign to the manuscript two Editorial Board Members (EBMs) who independently evaluate its modeling content and its clinical relevance. The EBMs selects reviewers and the peer-review process has started.

Once the reviews are collected, the EBMs synthesize the reviewers' comments and recommend a decision to the CEs. The CEs review the manuscript together with all comments and make the publication decision:

  1. Accepted
  2. Accepted after changes/updates
  3. Rejected

The Managing Editor (ME) will inform the author regarding the decision, and, if applicable the publication process will continue with desk editing, typesetting, proofreading, and  publication.

Publication Frequency

MAIO uses the Continuous Article Publication (CAP) model as of 2022. Articles are published as soon as they are ready. In general within 4 weeks after acceptance of your paper.

Open Access Policy

JMO is now fully open access (after registration) and doesn't ask for a publication fee when submitting an article either. 


The Journal for Modeling in Ophthalmology (JMO) was created in November 2014 by Giovanna Guidoboni, Alon Harris and Simon Bakker with the aim of providing a forum for interdisciplinary approaches integrating mathematical and computational modeling techniques to address open problems in ophthalmology. 

The Editorial Board members include experts in ophthalmology, physiology, mathematics, and engineering and strive to ensure the highest scientific level of the contributions selected for publication. The Journal for Modeling in Ophthalmology aims to be the voice for this rapidly growing interdisciplinary research and  we hope you will join us on this exciting journey

The name was changed to Modeling and Artificial Intelligence in Ophthalmology (MAIO) in 2021 to better cater to the rapidly changing needs of scientist. The scope f the journal was also updated. 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.
Read the letter from the chief editors about the name change.
Read more about MAIO's focus and scope.