Research Topic

The Application of AI and Other Advanced Technology in Studying Eye Diseases and Visual Development

About this Research Topic

Development of the visual system includes ocular growth and components such as visual stimulation, neurological development. This process of visual development involves structural ocular embryogenesis as well as functional postnatal development of visual formation. Visual impairment is a serious threat to human health and quality of life. Visual development is complex and can be affected by many pathophysiological mechanism. Therefore, elucidating the molecular mechanisms involved in eye disease pathogenesis will provide a reliable basis for the development of effective targeted therapies.

New intelligent diagnosis and treatment technology is urgently needed to meet the huge demand of blindness prevention and treatment. With the continuous development of economic globalization, artificial intelligence and other new technologies, including multi-omics and single-cell sequencing, tissue engineering and regenerative technology, nanotechnology and intelligent imaging assessments are closely related to ophthalmic medical decision-making and molecular medicine study. In addition, the development of medical artificial intelligence in ophthalmology has obvious disciplinary advantages, including high clinical safety and application scalability.

The aim of this Research Topic is to publish the most recent findings about the application of artificial intelligence and other advanced biological technologies in study the development of the visual system and the reconstruction of visual system disorders caused by eye diseases.

We welcome the submission of Original Research, Methods, Review and Mini-Review articles that cover, but are not limited to the following topics:
- Integrative omics and single-cell sequencing studies associated with eye diseases and visual development.
-Using artificial intelligence to identify novel signaling pathways and molecular mechanisms of eye diseases.
-Using artificial intelligence to identify the association between ocular and systemic diseases.
-The latest advances on the immunology, cell biology, and inflammation in eye diseases
-Applications of stem cell technology for ocular regenerative medicine.
-Refining data analysis algorithms to improve imaging technology in eye.
-Imaging assessments of structural and functional alterations in the eye, to improve understanding of pathophysiology, prognosis and underlying clinical sub-types.
-Applications of virtual reality and augmented reality in eye disease and visual development.


Keywords: Eye diseases, Visual development, Artificial Intelligence, Advanced technology, Translational vision science


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Development of the visual system includes ocular growth and components such as visual stimulation, neurological development. This process of visual development involves structural ocular embryogenesis as well as functional postnatal development of visual formation. Visual impairment is a serious threat to human health and quality of life. Visual development is complex and can be affected by many pathophysiological mechanism. Therefore, elucidating the molecular mechanisms involved in eye disease pathogenesis will provide a reliable basis for the development of effective targeted therapies.

New intelligent diagnosis and treatment technology is urgently needed to meet the huge demand of blindness prevention and treatment. With the continuous development of economic globalization, artificial intelligence and other new technologies, including multi-omics and single-cell sequencing, tissue engineering and regenerative technology, nanotechnology and intelligent imaging assessments are closely related to ophthalmic medical decision-making and molecular medicine study. In addition, the development of medical artificial intelligence in ophthalmology has obvious disciplinary advantages, including high clinical safety and application scalability.

The aim of this Research Topic is to publish the most recent findings about the application of artificial intelligence and other advanced biological technologies in study the development of the visual system and the reconstruction of visual system disorders caused by eye diseases.

We welcome the submission of Original Research, Methods, Review and Mini-Review articles that cover, but are not limited to the following topics:
- Integrative omics and single-cell sequencing studies associated with eye diseases and visual development.
-Using artificial intelligence to identify novel signaling pathways and molecular mechanisms of eye diseases.
-Using artificial intelligence to identify the association between ocular and systemic diseases.
-The latest advances on the immunology, cell biology, and inflammation in eye diseases
-Applications of stem cell technology for ocular regenerative medicine.
-Refining data analysis algorithms to improve imaging technology in eye.
-Imaging assessments of structural and functional alterations in the eye, to improve understanding of pathophysiology, prognosis and underlying clinical sub-types.
-Applications of virtual reality and augmented reality in eye disease and visual development.


Keywords: Eye diseases, Visual development, Artificial Intelligence, Advanced technology, Translational vision science


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

31 March 2021 Abstract
30 June 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

31 March 2021 Abstract
30 June 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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