ArticleClinical ophthalmology (Auckland, N.Z.)2026
Virtual Reality in Ophthalmic Surgical Education: Current Innovations and Future Perspectives.
Article in Clinical ophthalmology (Auckland, N.Z.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Virtual Reality in Ophthalmic Surgical Education: Current Innovations and Future Perspectives [Letter].Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Virtual Reality in Ophthalmic Surgical Education: Current Innovations and Future Perspectives [Response to Letter].Clinical ophthalmology (Auckland, N.Z.) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Virtual reality (VR) and augmented reality (AR) technologies have recently gained momentum in medical education and show particular promise for ophthalmic surgical training. VR creates immersive, computer-generated environments for simulated learning, whereas AR enhances the real-world by superimposing interactive digital elements. Traditional microsurgical training relies on wet-lab practice using model or cadaver eyes, as well as operative experience on live patients. The educational value of wet-lab training often depends on time-intensive direct supervision by a senior surgeon, while early surgical experience on live patients is associated with higher complication rates among novice surgeons. Virtual reality technologies offer a structured learning environment in which ophthalmology residents can practice independently without relying on senior supervision or live patients. By expanding opportunities for early skills practice while reducing patient risk, these tools may serve as a valuable adjunct to supervised operative training during the initial stages of surgical skill acquisition. New applications are emerging for commercially available VR headsets such as the Apple Vision Pro and Meta Quest, while standalone simulators like Haag-Streit Eyesi, HelpMeSee, and Alcon Fidelis have been developed specifically for ophthalmology. These platforms support immersive training environments, with tools such as RetinaVR for vitrectomy simulation and the AAO VR Education app for retinopathy of prematurity diagnosis. The Apple Vision Pro, paired with the ZEISS Surgery Optimizer application, enables three-dimensional surgical video recording, supports case storage and review by trainees, and facilitates learning from procedures performed by experienced surgeons. Compared to traditional simulators, these innovations reduce cost and hardware barriers, while enhancing scalability and customization. Standalone simulators such as HelpMeSee offer validated modules for manual small incision cataract surgery and phacoemulsification, while Alcon Fidelis introduces high-fidelity haptics and foot-pedal functionality to simulate intraocular procedures. Many established simulators such as HelpMeSee and Eyesi demonstrate stronger evidence of construct validity, whereas newer consumer-based platforms currently have more limited ophthalmic validation. Looking ahead, the integration of artificial intelligence with VR systems may further personalize surgical education by analyzing surgical recordings to estimate complication risk and skill progression. In this Perspective article, we synthesize findings from peer reviewed studies alongside recent reports describing emerging VR platforms to compare levels of validation across technologies, identify current evidence gaps, and assess the potential of these immersive platforms to make surgical training more affordable, efficient, and widely accessible.
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Registered trials
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.