ArticleBMJ health & care informatics2022
Global disparity bias in ophthalmology artificial intelligence applications.
Article in BMJ health & care informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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.
- AI in variant analysis: fast track to genetic diagnoses.Human genetics · 2026Review
- Comparing the Generalizability of Multiregional versus Locally Trained Deep Learning Models for Trachoma Detection.Ophthalmology science · 2026Article
- Dissemination and implementation science for global ophthalmology: closing the last-mile translational gap.Frontiers in public health · 2026Review
- Stakeholder Attitudes on AI Integration in Ophthalmology.Klinische Monatsblatter fur Augenheilkunde · 2025Review
- Responsible artificial intelligence in healthcare: a systematic review on the use of ethical principles in the development and deployment of artificial intelligence.BMJ digital health & AI · 2025Article
- Artificial Intelligence in Cardiovascular Disease Prevention: Is it Ready for Prime Time?Current atherosclerosis reports · 2024Review
- A survey of recent methods for addressing AI fairness and bias in biomedicine.Journal of biomedical informatics · 2024Review
- Automated machine learning model for fundus image classification by health-care professionals with no coding experience.Scientific reports · 2024Article
- Behind the mask: a critical perspective on the ethical, moral, and legal implications of AI in ophthalmology.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024Review
- Article
- Going beyond the means: Exploring the role of bias from digital determinants of health in technologies.PLOS digital health · 2023Review
- Digital Determinants of Health: Health data poverty amplifies existing health disparities-A scoping review.PLOS digital health · 2023Article
- Bias in artificial intelligence algorithms and recommendations for mitigation.PLOS digital health · 2023Review
- Operationalising fairness in medical algorithms.BMJ health & care informatics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
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.