ArticleDigital health
AR-AI assisted ophthalmic nursing: Preliminary usability study in clinical settings.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current landscape and research gaps in artificial intelligence for ophthalmic nursing: a scoping review.Frontiers in medicine · 2026Pooled it
- Utility of Augmented Reality Glasses With Waveguide Optics and Facial Recognition Technology for Patient Verification in a Simulated Outpatient Setting: Physician Questionnaire Survey Study.JMIR human factors · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Ophthalmic ward nursing work is onerous and busy, and many researchers have tried to introduce artificial intelligence (AI) technology to assist nurses in performing nursing tasks. This study aims to use augmented reality (AR) and AI technology to develop an intelligent assistant system for ophthalmic ward nurses and evaluate the usability and acceptability of the system in assisting clinical work for nurses. Methods: Based on AR technology, under the framework of deep learning, the system management, functions, and interfaces were completed using acoustic recognition, voice interaction, and image recognition technologies. Finally, an intelligent assistance system with functions such as patient face recognition, automatic information matching, and nursing work management was developed. Ophthalmic day ward nurses were invited to participate in filling out the System Usability Scale (SUS). Using the AR-based intelligent assistance system (AR-IAS) as the experimental group and the existing personal digital assistant (PDA) system as the control group. The experimental results of the three subscales of learnability, efficiency, and satisfaction of the usability scale were compared, and the clinical usability score of the AR-IAS system was calculated. Results: This study showed that the AR-IAS and the PDA systems had learnability subscale scores of 22.50/30.00 and 21.00/30.00, respectively; efficiency subscale scores of 29.67/40.00 and 28.67/40.00, respectively; and satisfaction subscale scores of 23.67/30.00 and 23.17/30.00, respectively. The overall usability score of the AR-IAS system was 75.83/100.00. Conclusion: Based on the analysis results of the System Usability Scale, the AR-IAS system developed using AR and AI technology has good overall usability and can be accepted by clinical nurses. It is suitable for use in ophthalmic nursing tasks and has clinical promotion and further research value.
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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.