ArticleEye (London, England)2024
Large language model (LLM)-driven chatbots for neuro-ophthalmic medical education.
Article in Eye (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Large Language Models in Ophthalmology: A Bibliographic Analysis.Turkish journal of ophthalmology · 2026Article
- OpenAI's Sora in medical education: artificial videos in the classroom of the future Sora d'OpenAI dans l'enseignement médical : des vidéos artificielles dans la salle de classe du futur.Canadian medical education journal · 2025Article
- Graph retrieval augmented large language models for facial phenotype associated rare genetic disease.NPJ digital medicine · 2025Article
- A large language model digital patient system enhances ophthalmology history taking skills.NPJ digital medicine · 2025Article
- ChatGPT and Other Large Language Models in Medical Education - Scoping Literature Review.Medical science educator · 2025Review
- Assessing the Current Limitations of Large Language Models in Advancing Health Care Education.JMIR formative research · 2025Article
- GATmath and GATLc: Comprehensive benchmarks for evaluating Arabic large language models.PloS one · 2025Article
- Article
- Utilizing Large Language Models in Ophthalmology: The Current Landscape and Challenges.Ophthalmology and therapy · 2024Review
- Interactive computer-aided diagnosis on medical image using large language models.Communications engineering · 2024Article
- OpenAI's Sora in ophthalmology: revolutionary generative AI in eye health.Eye (London, England) · 2024Article
- Google DeepMind's gemini AI versus ChatGPT: a comparative analysis in ophthalmology.Eye (London, England) · 2024Article
- Large Language Models in Ophthalmology: A Review of Publications from Top Ophthalmology Journals.Ophthalmology scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.