Evidence map›Paper›PMID 41310761›Full record

ArticleJournal of biological engineering2025

Can bionic eyes restore vision? Breakthroughs, challenges, and future frontiers in ophthalmology - A comprehensive review.

Kai-Yang Chen, Hoi-Chun Chan, Chi-Ming Chan

Abstract read
In one paragraph

Article in Journal of biological engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
–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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Review
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

3 authors.

Kai-Yang ChenDepartment of General Medicine, Chang Gung Memorial Hospital (Linkou branch), Taoyuan, Taiwan.
Hoi-Chun ChanSchool of Pharmacy, China Medical University, Taichung, Taiwan.
Chi-Ming ChanDepartment of Ophthalmology, Cardinal Tien Hospital, New Taipei City, Taiwan. 068268@mail.fju.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bionic eye technology aims to restore partial vision in individuals with severe visual impairment by artificially stimulating the visual system. Primary approaches involve the use of retinal implants, optic nerve stimulation, and cortical visual prostheses. Retinal implants have shown the most clinical progress, with devices such as Argus II and Alpha AMS demonstrating the ability to restore basic visual function in patients with retinitis pigmentosa. These implants use electrode arrays to stimulate the remaining retinal neurons, thereby enablingusers to perceive light, detect motion, and recognize large objects. However, the current technologies have limitations in terms of resolution, field of view, and long-term stability. Ongoing research has focused on developing high-density electrode arrays, improving biocompatibility, and enhancing signal processing. Clinical trials have shown that bionic eyes can provide meaningful improvements in visual function and quality of life in some patients, although outcomes vary. Although regulatory approvals have been achieved for certain devices, accessibility remains limited because of high costs. Future research directions include optogenetic approaches, development of wireless systems for power and data transmission, and integration of artificial intelligenceto optimize device performance. Overall, bionic-eye technology shows promise for restoring partial vision. However, significant challenges remain in achieving high-resolution, naturalistic vision.

Indexed as

Bionic eyeClinical trialsOptic nerveRetinaRetinal implantsVision restorationVisual impairments

Identifiers

PMID41310761
PMCPMC12659496

What OpenQuestion holds

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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.