ArticleTranslational vision science & technology2017
Human Factor and Usability Testing of a Binocular Optical Coherence Tomography System.
Article in Translational vision science & technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03553017 (A Prospective Single-Site Non-Interventional Exploratory Study Using a Prototype Binocular Optical Coherence Tomography System for Imaging of Ocular Disease), which is not on this map. Cited by 7 papers.
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.
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.
A Prospective Single-Site Non-Interventional Exploratory Study Using a Prototype Binocular Optical Coherence Tomography System for Imaging of Ocular Disease
Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Beyond non-technical skills: training ophthalmologists to appraise and integrate emerging technologies.Eye (London, England) · 2025Article
- Eye Tracking in Optometry: A Systematic Review.Journal of eye movement research · 2023Article
- Whole anterior segment and retinal swept source OCT for comprehensive ocular screening.Biomedical optics express · 2021Article
- A renaissance of teleophthalmology through artificial intelligence.Eye (London, England) · 2019Article
- Clinically applicable deep learning for diagnosis and referral in retinal disease.Nature medicine · 2018Article
- Use of a Binocular Optical Coherence Tomography System to Evaluate Strabismus in Primary Position.JAMA ophthalmology · 2018Article
- Embedded deep learning in ophthalmology: making ophthalmic imaging smarter.Therapeutic advances in ophthalmologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
purposeTo perform usability testing of a binocular optical coherence tomography (OCT) prototype to predict its function in a clinical setting, and to identify any potential user errors, especially in an elderly and visually impaired population.
methodsForty-five participants with chronic eye disease (mean age 62.7 years) and 15 healthy controls (mean age 53 years) underwent automated eye examination using the prototype. Examination included 'whole-eye' OCT, ocular motility, visual acuity measurement, perimetry, and pupillometry. Interviews were conducted to assess the subjective appeal and ease of use for this cohort of first-time users.
resultsAll participants completed the full suite of tests. Eighty-one percent of the chronic eye disease group, and 79% of healthy controls, found the prototype easier to use than common technologies, such as smartphones. Overall, 86% described the device to be appealing for use in a clinical setting. There was no statistically significant difference in the total time taken to complete the examination between participants with chronic eye disease (median 702 seconds) and healthy volunteers (median 637 seconds) (
conclusionOn their first use, elderly and visually impaired users completed the automated examination without assistance. Binocular OCT has the potential to perform a comprehensive eye examination in an automated manner, and thus improve the efficiency and quality of eye care. TRANSLATIONAL RELEVANCE: A usable binocular OCT system has been developed that can be administered in an automated manner. We have identified areas that would benefit from further development to guide the translation of this technology into clinical practice.
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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.