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. Artificial Intelligence in Vision and Ophthalmology (AIVO) 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. AIVO welcomes articles that investigate questions related to the anatomy, physiology and function of the eye in health and disease. The objectives of AIVO are:
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To provide a platform for the publication of techniques involving modeling and artificial intelligence applied to ophthalmology.
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To strengthen bridges across disciplines and disseminate information regarding open questions and novel interdisciplinary approaches to scientists with interests in ophthalmology, artificial intelligence, physiology, mathematics, engineering, and computer science.
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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 AIVO audience by explaining the details of their approach as well as the scientific and clinical relevance of the results. AIVO publishes full research articles, abstracts, and editorials.
Topics of interest to the journal include, but are not limited to:
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Biomechanics of ocular structures and fluids;
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Biophysics of ocular metabolism;
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Machine learning, deep learning, neural networks with application in ophthalmology;
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Models for epidemiology and risk analysis;
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New techniques for data analysis and visualization;
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New techniques for disease prediction, including the use of genomic data;
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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 Artificial Intelligence in Vision and 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:
- Accepted
- Accepted after changes/updates
- 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
AIVO 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
AIVO is now fully open access (after registration) and doesn't ask for a publication fee when submitting an article either.
History
Artificial Intelligence in Vision and Ophthalmology (AIVO) is the first journal that provides a dedicated forum for interdisciplinary approaches that advance the safe, robust, and effective use of artificial intelligence (AI) in eye care. The Editorial Board members include experts in artificial intelligence, ophthalmology, optometry, physiology, computer science, mathematics, and engineering and strive to ensure the highest scientific level of the contributions selected for publication. .
The concept of AIVO started in November 2014, when the Journal for Modeling in Ophthalmology (JMO) was created by Giovanna Guidoboni, Alon Harris and Simon Bakker to promote mathematical and computational modeling techniques to address open problems in ophthalmology. The name was changed to Modeling and Artificial Intelligence in Ophthalmology (MAIO) in 2021 Read the letter from the chief editors), and then to Artificial Intelligence in Vision and Ophthalmology (AIVO) in 2025 to better cater to the rapidly growing needs of the use and development of AI methods to preserve vision.
Read more about AIVO's focus and scope.