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Neural Vision Restoration in Ophthalmology
Jainam Shah1, Sachin Pathuri2,3, Joshua Ong4
1Albert Einstein College of Medicine, Bronx, NY, USA. jainam.shah@einsteinmed.edu.
Annals of Biomedical Engineering
|February 13, 2026
Summary
Neural vision restoration uses implants and brain-computer interfaces (BCIs) to restore sight. Future systems aim for more natural vision, integrating AI and considering ethical implications for broader applications.
Area of Science:
- Neuroscience
- Bioengineering
- Ophthalmology
Background:
- Neural vision restoration is a multidisciplinary field aiming to restore sight.
- Current technologies offer basic visual perception but differ significantly from natural vision.
Purpose of the Study:
- To review emerging strategies for neural vision restoration.
- To outline challenges and opportunities in neural ophthalmology.
Main Methods:
- Review of retinal prostheses, optic nerve and thalamic implants.
- Exploration of cortical brain-computer interfaces (BCIs), optogenetics, and non-invasive stimulation.
- Discussion of AI, machine learning, neural plasticity, and perceptual learning.
Main Results:
- Initial experiments show primitive visual abilities like light and motion detection.
- Artificial vision is cognitively demanding and distinct from natural vision.
- AI and machine learning can enhance artificial vision systems.
Conclusions:
- Multidisciplinary approaches are needed for visual rehabilitation.
- Ethical and regulatory considerations are crucial for responsible implementation.
- Future vision restoration requires hardware compatible with brain plasticity and patient experience.
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