Big Data and Artificial Intelligence in Ophthalmology: Where Are We Now?

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

14 citing papers in PubMed.

1. Tele-ophthalmology-enabled and artificial intelligence-ready referral pathway for community optometry referrals of retinal disease: HERMES cluster randomised trial with a diagnostic accuracy study.Health technology assessment (Winchester, England) · 2025
   Trial
2. Detection of Disease Features on Retinal OCT Scans Using RETFound.Bioengineering (Basel, Switzerland) · 2024
   Article
3. Machine Learning Methods Using Artificial Intelligence Deployed on Electronic Health Record Data for Identification and Referral of At-Risk Patients From Primary Care Physicians to Eye Care Specialists: Retrospective, Case-Controlled Study.JMIR AI · 2024
   Article
4. Ophthalmology at the Forefront of Big Data Integration in Medicine: Insights from the IRIS Registry Database.The Yale journal of biology and medicine · 2023
   Review
5. Publication of Datasets, a Step toward Advancing Data Science.Ophthalmology science · 2023
   Article
6. Artificial intelligence and machine learning in ophthalmology: A review.Indian journal of ophthalmology · 2023
   Review
7. Artificial intelligence in ophthalmology: A multidisciplinary approach.Integrative medicine research · 2022
   Article
8. American Academy of Ophthalmology Intelligent Research in Sight (IRIS®) Registry and the IRIS Registry Analytic Center Consortium.Ophthalmology science · 2022
   Article
9. Applications of natural language processing in ophthalmology: present and future.Frontiers in medicine · 2022
   Review
10. Development of oculomics artificial intelligence for cardiovascular risk factors: A case study in fundus oculomics for HbA1c assessment and clinically relevant considerations for clinicians.Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
    Article
11. Big data to guide glaucoma treatment.Taiwan journal of ophthalmology
    Review
12. Variations in Electronic Health Record-Based Definitions of Diabetic Retinopathy Cohorts: A Literature Review and Quantitative Analysis.Ophthalmology science
    Article
13. Barriers to Extracting and Harmonizing Glaucoma Testing Data: Gaps, Shortcomings, and the Pursuit of FAIRness.Ophthalmology science
    Article
14. Artificial intelligence in ophthalmology.Romanian journal of ophthalmology
    Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

3 authors.

Funding

Abstract

PubMed holds no abstract for this paper.