ArticleNature2023
Publisher Correction: Large language models encode clinical knowledge.
Article in Nature, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysis.Blood advances · 2024Pooled it
- Teaching Clinical Reasoning in Health Care Professions Learners Using AI-Generated Script Concordance Tests: Mixed Methods Formative Evaluation.JMIR formative research · 2025Article
- Evaluating GPT-4's visual interpretation and clinical reasoning on emergency settings: A 5-year analysis.Journal of the Chinese Medical Association : JCMA · 2025Observational
- Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study.Journal of medical Internet research · 2025Article
- Assessing the diagnostic accuracy of ChatGPT-4 in the histopathological evaluation of liver fibrosis in MASH.Hepatology communications · 2025Article
- Large Language Models in Biochemistry Education: Comparative Evaluation of Performance.JMIR medical education · 2025Article
- Image Recognition Performance of GPT-4V(ision) and GPT-4o in Ophthalmology: Use of Images in Clinical Questions.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
- From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?Computational and structural biotechnology journal · 2024Review
- Large language models and generative AI in telehealth: a responsible use lens.Journal of the American Medical Informatics Association : JAMIA · 2024Review
- Transitioning from "Dr. Google" to "Dr. ChatGPT": the advent of artificial intelligence chatbots.Translational andrology and urology · 2024Article
- Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.Journal of biomedical informatics · 2024Article
- Leveraging Generative AI for Clinical Evidence Synthesis Needs to Ensure Trustworthiness.ArXiv · 2024Article
- Microsoft Bing outperforms five other generative artificial intelligence chatbots in the Antwerp University multiple choice medical license exam.PLOS digital health · 2024Article
- Large Language Models in Neurology Research and Future Practice.Neurology · 2023Article
Corrections and comments
- Erratum for
Authors and funding
32 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.