ArticleJournal of medical Internet research2022
Emerging Trends and Research Foci in Artificial Intelligence for Retinal Diseases: Bibliometric and Visualization Study.
Article in Journal of medical Internet research, 2022. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
- Stakeholder experience with artificial intelligence in healthcare: a bibliometric study of satisfaction, trust, acceptance, and patient engagement.Frontiers in digital health · 2026Pooled it
- Classifying retinal images via vascular-optic disc cross-segmentation and attentive feature selection.Scientific reports · 2026Article
- Pan-Ret: a semi-supervised framework for scalable detection of pan-retinal diseases.Medical & biological engineering & computing · 2025Review
- Application of Artificial Intelligence in Retinopathy of Prematurity From 2010 to 2023: A Bibliometric Analysis.Health science reports · 2025Article
- HyReti-Net: hybrid retinal diseases classification and diagnosis network using optical coherence tomography.Frontiers in medicine · 2025Article
- Synergistic AI-resident approach achieves superior diagnostic accuracy in tertiary ophthalmic care for glaucoma and retinal disease.Frontiers in ophthalmology · 2025Article
- Review
- Development and research status of intelligent ophthalmology in China.International journal of ophthalmology · 2024Review
- Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in glaucoma from 2013 to 2022.International journal of ophthalmology · 2024Article
- A bibliometric study and visualization analysis of ferroptosis-inducing cancer therapy.Heliyon · 2023Article
- Characteristics and Emerging Trends in Research on Rehabilitation Robots from 2001 to 2020: Bibliometric Study.Journal of medical Internet research · 2023Article
- Emerging trends and research foci of deep learning in spine: bibliometric and visualization study.Neurosurgical review · 2023Review
- An interpretable transformer network for the retinal disease classification using optical coherence tomography.Scientific reports · 2023Article
- Attention-guided cascaded network with pixel-importance-balance loss for retinal vessel segmentation.Frontiers in cell and developmental biology · 2023Article
- Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition.Frontiers in computational neuroscience · 2023Article
- Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in diabetic retinopathy.Frontiers in endocrinology · 2022Article
- Global research trends on the links between gut microbiota and cancer immunotherapy: A bibliometric analysis (2012-2021).Frontiers in immunology · 2022Article
- Hypermixed Convolutional Neural Network for Retinal Vein Occlusion Classification.Disease markers · 2022Article
- Bibliometric and visual analyses of trends in the field of T cell exhaustion research: Findings from 2000 to 2022.International journal of immunopathology and pharmacologyArticle
- The future application of artificial intelligence and telemedicine in the retina: A perspective.Taiwan journal of 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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients with retinal diseases may exhibit serious complications that cause severe visual impairment owing to a lack of awareness of retinal diseases and limited medical resources. Understanding how artificial intelligence (AI) is used to make predictions and perform relevant analyses is a very active area of research on retinal diseases. In this study, the relevant Science Citation Index (SCI) literature on the AI of retinal diseases published from 2012 to 2021 was integrated and analyzed.
objectiveThe aim of this study was to gain insights into the overall application of AI technology to the research of retinal diseases from set time and space dimensions.
methodsCitation data downloaded from the Web of Science Core Collection database for AI in retinal disease publications from January 1, 2012, to December 31, 2021, were considered for this analysis. Information retrieval was analyzed using the online analysis platforms of literature metrology: Bibliometrc, CiteSpace V, and VOSviewer.
resultsA total of 197 institutions from 86 countries contributed to relevant publications; China had the largest number and researchers from University College London had the highest H-index. The reference clusters of SCI papers were clustered into 12 categories. "Deep learning" was the cluster with the widest range of cocited references. The burst keywords represented the research frontiers in 2018-2021, which were "eye disease" and "enhancement."
conclusionsThis study provides a systematic analysis method on the literature regarding AI in retinal diseases. Bibliometric analysis enabled obtaining results that were objective and comprehensive. In the future, high-quality retinal image-forming AI technology with strong stability and clinical applicability will continue to be encouraged.
Indexed as
Identifiers
What Socratic 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 Socratic graph.