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Virtual Reality in Ophthalmic Surgical Education: Current Innovations and Future Perspectives [Response to Letter]

Authors Ahuja AS ORCID logo, Yang S, Paredes III AA, Tu DC

Received 22 June 2026

Accepted for publication 22 June 2026

Published 15 July 2026 Volume 2026:20 634690

DOI https://doi.org/10.2147/OPTH.S634690



Abhimanyu S Ahuja,1 Sen Yang,1 Alfredo A Paredes III,2 Daniel C Tu1,3

1Department of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland, OR, USA; 2Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA; 3Operative Care Division, Veterans Affairs Portland Health Care System, Portland, OR, USA

Correspondence: Daniel C Tu, Department of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland, OR, USA, Tel +1 503-494-9255, Email [email protected]


View the original paper by Dr Ahuja and colleagues

This is in response to the Letter to the Editor


Dear editor

We thank Lansingh et al for their thoughtful analysis of our Perspective article on the role of virtual reality (VR) modalities in ophthalmic surgical education. They highlight important considerations regarding the use of the AAO VR Education App, as well as the distinction between construct validity, which we emphasized as evidence that a simulator can differentiate users of varying skill levels based on performance, and other forms of VR simulator validation.1 We agree that the AAO VR Education App is currently best characterized as a tool for ophthalmic education rather than surgical training, an important distinction to make given our paper’s primary focus on surgical education modalities.

Lansingh et al emphasize the importance of considering face and content validity alongside construct validity when evaluating VR modalities. As they note, face validity refers to the perceived realism of a simulator when compared to actual surgery, while content validity reflects whether the simulator incorporates the relevant skills and tasks it is intended to train.2

In a related publication, Nair et al note that construct validity remains a critical component of simulator evaluation,2 and we agree that validity should be evaluated across multiple complementary domains. Methodologically, face and content validity are often assessed through structured expert or user feedback, whereas construct validity is more commonly supported by objective simulator-derived performance metrics, such as error rates, task completion, instrument handling, or overall module scores.2–4 Thus, our emphasis on construct validity reflected its utility for comparing the degree to which different platforms have demonstrated performance-based validation.

As noted by Lansingh et al, evidence of content validity has been reported for Eyesi and HelpMeSee, and face validity has also been demonstrated for HelpMeSee.5–7 To our knowledge, comparable face and content validity data remain limited for several emerging platforms discussed in our article, including Meta Quest-based applications and the Apple Vision Pro. Importantly, the absence of such data does not imply that these platforms lack face or content validity; rather, it indicates that their validation status remains unclear. We thank the authors for highlighting this important distinction and agree that future studies should define the specific validity domains they aim to evaluate.7

We agree with Lansingh et al that future studies of VR models should use standardized methods to establish face, content, and construct validity evidence across emerging platforms. Such efforts will be important for accurately comparing each model’s ability to support ophthalmic surgical training. We appreciate the authors’ thoughtful correspondence and agree that careful attention to distinct forms of validity will strengthen future evaluations of VR-based surgical education.

Disclosure

The authors report no conflicts of interest in this communication.

References

1. Ahuja AS, Yang S, Paredes III AA, Tu DC. Virtual reality in ophthalmic surgical education: current innovations and future perspectives. Clin Ophthalmol. 2026;20:593471. doi:10.2147/OPTH.S593471

2. Nair AG, Lansingh VC, Fynn-Thompson N. The consultant-trainee paradox in simulation: a question of validity, not inherent skill. Indian J Ophthalmol. 2025;73(10):1549–2. doi:10.4103/IJO.IJO_1489_25

3. Hutter DE, Wingsted L, Cejvanovic S, et al. A validated test has been developed for assessment of manual small incision cataract surgery skills using virtual reality simulation. Sci Rep. 2023;13(1):10655. doi:10.1038/s41598-023-32845-5

4. Nair AG, Ahiwalay C, Bacchav AE, et al. Effectiveness of simulation-based training for manual small incision cataract surgery among novice surgeons: a randomized controlled trial. Sci Rep. 2021;11(1):10945. doi:10.1038/s41598-021-90410-4

5. Lee R, Raison N, Lau WY, et al. A systematic review of simulation-based training tools for technical and non-technical skills in ophthalmology. Eye. 2020;34(10):1737–1759. doi:10.1038/s41433-020-0832-1

6. Jaud C, Salleron J, Cisse C, Angioi-Duprez K, Berrod JP, Conart JB. EyeSi Surgical Simulator: validation of a proficiency-based test for assessment of vitreoretinal surgical skills. Acta Ophthalmol. 2021;99(4):390–396. doi:10.1111/aos.14628

7. Nair AG, Ahiwalay C, Bacchav AE, Sheth T, Lansingh VC. Assessment of a high-fidelity, virtual reality-based, manual small-incision cataract surgery simulator: a face and content validity study. Indian J Ophthalmol. 2022;70(11):4010–4015. doi:10.4103/ijo.IJO_1593_22

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