ArticleNature2023
A foundation model for generalizable disease detection from retinal images.
Article in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 453 papers, 2 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
453 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A systematic review of molecular representation learning foundation models.Briefings in bioinformatics · 2026Pooled it
- Artificial Intelligence-Driven Differentiation Between Uveal Melanoma and Nevus Based on Fundus Photographs: A Systematic Review and Meta-Analysis.Translational vision science & technology · 2026Pooled it
- AI-based clinician decision support system for diagnosis of inherited retinal diseases: a multicenter, randomized trial.Nature medicine · 2026Trial
- Accelerating Stroke MRI With Diffusion Probabilistic Models Through Large-Scale Pre-Training and Target-Specific Fine-Tuning.Magnetic resonance in medicine · 2026Article
- Bridging scales: a perspective on macro-to-micro transfer for microscopy foundation models.Npj imaging · 2026Article
- Grounded ophthalmic AI beyond the electronic health record trap: a critical narrative review.BMJ health & care informatics · 2026Review
- Optimizing metabolic health through deep-phenotyping-based personalized nutrition.Nature reviews. Endocrinology · 2026Review
- Decoding systemic vascular health and hypertensive disorders in pregnancy through retinal imaging and Visionary AI.Nature biotechnology · 2026Article
- The Underutilized Ocular Fundus in Emergency Departments: Current Progress and Future Prospect of Imaging and Artificial Intelligence for Patient Care.Ophthalmology science · 2026Review
- Initial lessons from real-world implementation of an AI-agent eye clinic in China.Nature medicine · 2026Article
- A Facial Foundation Model for Clinical Biomarker Prediction and Real-World Mobile Deployment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Foundation model-based haemoglobin concentration estimation and anaemia risk assessment from retinal fundus images.Eye (London, England) · 2026Article
- Generative adversarial networks (GAN) for pre-dilation retinal photograph quality enhancement.Eye (London, England) · 2026Article
- Current Trends in AI and Eye Disease Diagnostics.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026Review
- LungGPT: A unified multimodal system for interpretable diagnosis and clinical decision support of respiratory diseases.Cell reports. Medicine · 2026Article
- Review
- Multimodal AI in retinal disease: from images to decisions and real-world endpoints.International ophthalmology · 2026Article
- AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Review
- Detecting Uniformity Artifacts in Ultrasound Transducers: Insights from Clinical Median Images and Deep Learning for Automatic Detection.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Article
- Multimodal Nomogram for the Prenatal Risk Assessment of Hypoplastic Left Heart Syndrome Using Self-Supervised Learning.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Article
393 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
Abstract
Medical artificial intelligence (AI) offers great potential for recognizing signs of health conditions in retinal images and expediting the diagnosis of eye diseases and systemic disorders
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.