ReviewIndian journal of ophthalmology2021
Smartphone applications in ophthalmology: A quantitative analysis.
Review in Indian journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Effectiveness of smartphone technology for detection of paediatric ocular diseases-a systematic review.BMC ophthalmology · 2025Pooled it
- Accuracy of a commonly used mobile ophthalmology application's vision assessment tools in measuring five vision assessment parameters.Eye (London, England) · 2024Trial
- Validity and Reliability of WHOeyes Application in Community-based Visual Acuity Screening Program.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- The Impact of Primary Care Provider Telemedicine Adoption on Pediatric Ophthalmology Referrals.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2025Article
- Integration of Digital Phenotyping and Genomics for Dry Eye Disease: Protocol for a Prospective Cohort Study.JMIR research protocols · 2025Article
- Mobile Apps and Visual Function Assessment: A Comprehensive Review of the Latest Advancements.Ophthalmology and therapy · 2025Review
- ASSESSMENT OF TOOTH COLOR DIFFERENCE IN DIGITAL PHOTOGRAPHS TAKEN WITH DIFFERENT SMARTPHONES.Acta clinica Croatica · 2024Review
- Assessment of Eye Care Apps for Children and Adolescents Based on the Mobile App Rating Scale: Content Analysis and Quality Assessment.JMIR mHealth and uHealth · 2024Article
- Smartphone-Based Artificial Intelligence for the Detection and Diagnosis of Pediatric Diseases: A Comprehensive Review.Bioengineering (Basel, Switzerland) · 2024Review
- Evaluation of Patient Experiences with PocDoc, a Web-Based Eye Screening Tool.Ophthalmology and therapy · 2024Article
- User Friendliness and Perioperative Guidance Benefits of a Cataract Surgery Education App: Randomized Controlled Trial.JMIR formative research · 2024Article
- Accuracy of an artificial intelligence-based mobile application for detecting cataracts: Results from a field study.Indian journal of ophthalmology · 2023Article
- Comparing the Effectiveness of Smartphone Applications in the Measurement of Interpupillary Distance.Cureus · 2023Article
- Validity and Reliability of Vis-Screen Application: A Smartphone-Based Distance Vision Testing for Visual Impairment and Blindness Vision Screening.Medicina (Kaunas, Lithuania) · 2023Article
- Applications and implications for extended reality to improve binocular vision and stereopsis.Journal of vision · 2023Article
- Computer vision syndrome among students during remote learning periods: harnessing digital solutions for clear vision.Frontiers in public health · 2023Article
- Impact of the COVID-19 pandemic on visual outcomes of diabetic macular edema patients at a tertiary care veterans affairs center.Journal of diabetes and metabolic disorders · 2022Article
- Gaps in standards for integrating artificial intelligence technologies into ophthalmic practice.Current opinion in ophthalmology · 2021Review
- Commentary: An app a day keeps the eye doctor busy.Indian journal of ophthalmology · 2021Article
- Innovation in neuro-ophthalmology: The validation of smartphone-based self-screening for early detection of disorders.Taiwan journal of ophthalmologyArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: There is limited information in literature about the scope and usability of Smartphone Applications (Apps) in ophthalmology. Eye care professionals are therefore skeptical about the benefits of smartphone Apps and are reluctant to adopt it in their day to day practice. The purpose of this study was to provide an updated overview of all Apps exclusive to ophthalmology. Methods: This study was a quantitative analysis of Smartphone Apps exclusively designed for ophthalmic care. The Apple iPhone and Google play store were searched for eye care themed Apps. Any App related to eye treatment and management such as visual acuity screening, eye education, calculators, eBooks, Low Vision Aids were included in the study. Data on the purpose of the Apps, target end-users, validation, App usage, user ratings, and App developer qualifications were documented. Results: As of March 2020, a total of 131 Apps exclusively dedicated for eye care were identified. 53% (69/131) were available in iPhones, 44% (58/131) in Android smartphones, and 3% in both. 32% (41/131) Apps were designed for visual acuity (VA) screening, 13% (17/131) for eye relaxation exercises, 12% (15/131) for professional education, and the remaining for Apps detecting color blindness, low vision aids, and assistance and patient education. Among the 131 Apps, 6 (4.5%) Apps are claimed by the developers as validated. Conclusion: This study unveils a wide range of smartphone Apps exclusive to ophthalmology and suggests guidelines to choose an appropriate App. The study also highlights the importance of interdisciplinary collaboration in the design, development, and validation of such Apps.
Indexed as
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What OpenQuestion holds
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.