SynthesisBMC ophthalmology2025
Effectiveness of smartphone technology for detection of paediatric ocular diseases-a systematic review.
Synthesis in BMC ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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Who cites it
3 citing papers in PubMed.
- Binocular Vision Anomalies: An Update on Prevalence, Impact, Technological and Treatment Developments and Current Challenges.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Review
- Recent Advances in AI-Driven Mobile Health Enhancing Healthcare-Narrative Insights into Latest Progress.Bioengineering (Basel, Switzerland) · 2025Review
- Quantitative Assessment of Strabismus Using Cloud AI Computing: Validation Study.JMIR formative research · 2025Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence has become part of healthcare with a multitude of applications being customized to roles required in clinical practice. There has been an expanding growth and development of computer technology with increasing appearance in the ophthalmological universe with roles in detection of most ophthalmic diseases. This article attempts to study the efficacy of smartphones and their applications in detection of paediatric eye diseases.
methodsOn 24 January 2024, a comprehensive search was performed across five databases-PubMed, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature, and ProQuest-focusing on studies assessing smartphone-based disease detection and diagnostic accuracy compared to validated methods. Keywords and MeSH terms, including "smartphone," "eye diseases," and "children," were combined using Boolean operators and eligible studies were obtained. The inclusion criteria covered studies from 2000 to 2023, involving children under 18 years, and reporting diagnostic outcomes. Exclusions included studies not exclusive to eye disease, purely adult population studies, reviews, studies with non-availability of full text, and studies exploring other uses of smartphone and designs lacking diagnostic efficacy analysis. Article quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist.
resultsA total of 2054 articles were retrieved. After removing 1112 duplicates, 507 records were excluded through title screening, followed by 333 through abstract screening. A full-text review of 83 articles led to the inclusion of 33 studies, involving 16,015 participants. Most of the studies (28, 84.84%) were of high quality, with five (15.15%) of moderate quality. Twelve smartphone applications assessed refractive errors using visual acuity tests or photorefraction, five detected amblyogenic risk factors, six identified strabismus, and three targeted leukocoria. Additional applications evaluated stereoacuity (two), eyelid position (one), chalazion (one), corneal diameter (one), and retinopathy of prematurity (two). Overall, these applications demonstrated the potential of smartphones in paediatric eye disease detection.
conclusionSmartphone applications are effective tools for detecting important causes of childhood eye disorders such as strabismus, retinopathy of prematurity, chalazion, and refractive errors. These technologies offer promising opportunities for teleophthalmology and integration into routine clinical practice.
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