ReviewCureus2021
Teleophthalmology and Artificial Intelligence As Game Changers in Ophthalmic Care After the COVID-19 Pandemic.
Review in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- AI-Guided Home-Based Therapy for Convergence Insufficiency: A Comparative Feasibility Study with Pencil Push-Ups.Bioengineering (Basel, Switzerland) · 2026Article
- Review
- Artificial Intelligence in Oculoplastics: A Survey-Based Study on Provider Perspective.Cureus · 2025Article
- Revolutionizing diabetic retinopathy screening and management: The role of artificial intelligence and machine learning.World journal of clinical cases · 2025Article
- Tackling visual impairment: emerging avenues in ophthalmology.Frontiers in medicine · 2025Review
- Article
- Teleophthalmology at a primary and tertiary eye care network from India: environmental and economic impact.Eye (London, England) · 2024Article
- Review
- Telemedicine at a University Ophthalmology Practice During the Beginning of the COVID-19 Pandemic.Clinical ophthalmology (Auckland, N.Z.) · 2024Article
- Review
- Evaluating the Efficacy of Teleophthalmology in Delivering Ophthalmic Care to Underserved Populations: A Literature Review.Journal of clinical medicine · 2023Review
- The application of artificial intelligence in glaucoma diagnosis and prediction.Frontiers in cell and developmental biology · 2023Review
- Artificial intelligence and machine learning in ophthalmology: A review.Indian journal of ophthalmology · 2023Review
- Impact of the COVID-19 Pandemic on the Metabolic Control of Diabetic Patients in Diabetic Retinopathy and Its Screening.Journal of clinical medicine · 2022Article
- Challenges in managing glaucoma-related morbidity due to lockdown in a developing country.Journal of family medicine and primary care · 2022Article
- Cost-Utility Analysis of Screening for Diabetic Retinopathy in China.Health data science · 2022Article
- The barriers to global eye care equity and the role of digital innovations.Advances in ophthalmology practice and research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current COVID-19 pandemic has boosted a sudden demand for telemedicine due to quarantine and travel restrictions. The exponential increase in the use of telemedicine is expected to affect ophthalmology drastically. The aim of this review is to discuss the utility, effectiveness and challenges of teleophthalmological new tools for eyecare delivery as well as its implementation and possible facilitation with artificial intelligence. We used the terms: "teleophthalmology," "telemedicine and COVID-19," "retinal diseases and telemedicine," "virtual ophthalmology," "cost effectiveness of teleophthalmology," "pediatric teleophthalmology," "Artificial intelligence and ophthalmology," "Glaucoma and teleophthalmology" and "teleophthalmology limitations" in the database of PubMed and selected the articles being published in the course of 2015-2020. After the initial search, 321 articles returned as relevant. A meticulous screening followed and eventually 103 published manuscripts were included and used as our references. Emerging in the market, teleophthalmology is showing great potential for the future of ophthalmological care, benefiting both patients and ophthalmologists in times of pandemics. The spectrum of eye diseases that could benefit from teleophthalmology is wide, including mostly retinal diseases such as diabetic retinopathy, retinopathy of prematurity, age-related macular degeneration but also glaucoma and anterior segment conditions. Simultaneously, artificial intelligence provides ways of implementing teleophthalmology easier and with better outcomes, contributing as significant changing factors for ophthalmology practice after the COVID-19 pandemic.
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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.