Evidence map›Paper›PMID 41686387›Full record

ReviewAnnals of biomedical engineering2026

Neural Vision Restoration in Ophthalmology.

Jainam Shah, Sachin Pathuri, Joshua Ong, Raena Greenbaum, Nikolas Melkumyan, Ryung Lee, Kimia Rezaei, Andrew D Parsons, Jason Zheng, Karl Golnik and 1 more

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jainam Shah *Albert Einstein College of Medicine, Bronx, NY, USA. jainam.shah@einsteinmed.edu.ORCID http://orcid.org/0009-0004-3088-7543
Sachin Pathuri *Albert Einstein College of Medicine, Bronx, NY, USA.ORCID http://orcid.org/0009-0006-4617-3240
Joshua OngDepartment of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-4860-827X
Raena GreenbaumAlbert Einstein College of Medicine, Bronx, NY, USA.
Nikolas MelkumyanAlbert Einstein College of Medicine, Bronx, NY, USA.
Ryung LeeDepartment of Internal Medicine, University at Buffalo, Buffalo, NY, USA.ORCID http://orcid.org/0000-0002-8365-5672
Kimia RezaeiUniversity of California Riverside School of Medicine, Riverside, CA, USA.ORCID http://orcid.org/0009-0004-4245-0226
Andrew D ParsonsAlbert Einstein College of Medicine, Bronx, NY, USA.
Jason ZhengAlbert Einstein College of Medicine, Bronx, NY, USA.ORCID http://orcid.org/0009-0002-2702-3934
Karl GolnikDepartment of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA.ORCID http://orcid.org/0000-0002-8822-5989
Andrew G LeeCenter for Space Medicine, Baylor College of Medicine, Houston, TX, USA. aglee@houstonmethodist.org.ORCID http://orcid.org/0000-0002-2473-299X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural vision restoration is a rapidly advancing discipline at the intersection of neuroscience, bioengineering, and ophthalmology. This review synthesizes emerging strategies to restore visual perception through retinal prostheses, optic nerve and thalamic implants, cortical brain-computer interfaces (BCIs), optogenetics, and non-invasive stimulation. Although initial experiments have demonstrated primitive visual abilities such as light perception and motion detection, artificial vision remains cognitively demanding and fundamentally different  from natural vision. Advances in artificial intelligence and machine learning may enable adaptive, closed-loop systems that optimize stimulation, enhance low-light vision, and integrate environmental inputs for more intelligible percepts. At the same time, a growing understanding of neural plasticity, cortical remapping, and perceptual learning highlights the need for multidisciplinary strategies in visual rehabilitation. Ethical and regulatory concerns, including informed consent, data protection, neural enhancement, and equitable access, remain central to responsible implementation. The potential of BCIs to bypass the eye entirely, and of neuroprosthetics to be used in spaceflight, disaster response, or military medicine, expands the applications of vision restoration beyond blindness alone. Bridging technological, clinical, and ethical strategies in this review outlines the challenges and opportunities that define the future of neural ophthalmology. Ultimately, restoring sight will require not only functioning hardware, but systems compatible with the reorganized brain and the lived experience of visual loss.

Indexed as

Brain-Computer InterfacesOphthalmologyVisual ProsthesisAnimalsHumansNeuronal PlasticityAdaptive stimulationArtificial intelligenceBrain-computer interfacesClosed-loop systemsCortical stimulationMachine learningNeural interfacesNeuroplasticityOphthalmologyRetinal prosthesesVisual neuroprosthesesVisual rehabilitation

Identifiers

PMID41686387
PMCPMC13290994

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.