ReviewInternational journal of ophthalmology2024
Development and research status of intelligent ophthalmology in China.
Review in International journal of ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses 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
36 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Impact of extended reality (XR) simulation on ophthalmology training outcomes: an updated systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Large language models for primary care ophthalmic education: a systematic review.Frontiers in medicine · 2026Pooled it
- Evaluating the Performance of ChatGPT on Board-Style Examination Questions in Ophthalmology: A Meta-Analysis.Journal of medical systems · 2025Pooled it
- Artificial intelligence in ADHD: a global perspective on research hotspots, trends and clinical applications.Frontiers in human neuroscience · 2025Pooled it
- Risk-centered benchmarking of large language models for AI-enabled counseling in chronic autoimmune thyroid eye disease.Frontiers in cell and developmental biology · 2026Article
- Artificial intelligence assisted quantitative analysis of fundus structural and vascular alterations reveals fundus tessellation as a robust biomarker of myopia severity.Frontiers in cell and developmental biology · 2026Article
- Application effect and teaching evaluation of case-based learning combined with ChatGPT in ophthalmology clinical teaching.Frontiers in medicine · 2026Article
- Learning ophthalmic anatomy with AI-generated visual resource: the moderating role of educational background.Frontiers in medicine · 2026Article
- Design and application of a web-based intelligent ophthalmic image analysis teaching platform.Frontiers in medicine · 2026Article
- Artificial intelligence assisted simulation and surgical video analytics for ophthalmic surgery training and competence development.Frontiers in medicine · 2026Review
- Association between fundus tessellated density and subfoveal choroidal thickness in children with different refractive statuses.Frontiers in medicine · 2026Article
- Editorial: Artificial intelligence applications in chronic ocular diseases, volume II.Frontiers in cell and developmental biology · 2026Article
- An intelligent segmentation method for leakage points in central serous chorioretinopathy based on fluorescein angiography images.International journal of ophthalmology · 2026Article
- Effective automatic classification methods via deep learning for multi-type infectious keratitis diagnosis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- STB-Net: a Siamese architecture-based reconstruction-segmentation network for ocular surface image segmentation.Quantitative imaging in medicine and surgery · 2025Article
- Automated cup-to-disc ratio quantification via color fundus photography for chronic glaucoma screening.BMC medical imaging · 2025Article
- TransDualSegNet: transformer dual segment network for retinal vasculature segmentation in OCT.Quantitative imaging in medicine and surgery · 2025Article
- Research Progress in Artificial Intelligence for Central Serous Chorioretinopathy: A Systematic Review.Ophthalmology and therapy · 2025Review
- Keypoint localization and parameter measurement in ultrasound biomicroscopy anterior segment images based on deep learning.Biomedical engineering online · 2025Article
- Macular vascular density changes in different stages of chronic primary angle-closure glaucoma.Frontiers in medicine · 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
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper analyzes the current status, technological developments, academic exchange platforms, and future challenges and solutions in the field of intelligent ophthalmology (IO) in China. In terms of technology, significant progress has been made in various areas, including diabetic retinopathy, fundus image analysis, quality assessment of medical artificial intelligence products, clinical research methods, technical evaluation, and industry standards. Researchers continually enhance the safety and standardization of IO technology by formulating a series of clinical application guidelines and standards. The establishment of domestic and international academic exchange platforms provides extensive collaboration opportunities for professionals in various fields, and various academic journals serve as publication platforms for IO research. However, challenges such as technological innovation, data privacy and security, lagging regulations, and talent shortages still pose obstacles to future development. To address these issues, future efforts should focus on strengthening technological research and development, regulatory framework construction, talent cultivation, and increasing patient awareness and acceptance of new technologies. By comprehensively addressing these challenges, IO in China is poised to further lead the industry's development on a global scale, bringing more innovation and convenience to the field of ophthalmic healthcare.
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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.