ArticleJAMA network open2024
Use of a Large Language Model to Identify and Classify Injuries With Free-Text Emergency Department Data.
Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Testing and evaluation of generative large language models in electronic health record applications: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2026Pooled it
- Intelligent Framework for Adverse Drug Event Identification Using Large Language Models and Retrieval-Augmented Generation: Development and Evaluation Study.Journal of medical Internet research · 2026Article
- Zero-shot performance of selected large language and multimodal models on the 2023 Brazilian Portuguese medical residency exam.Scientific reports · 2026Article
- AI-powered surveillance of bronchiolitis in the Nirsevimab era: comparative performance of machine learning, deep learning, and large language models on free-text ED records.BMC emergency medicine · 2026Article
- Large Language Models Using Clinical Text in Pediatrics: A Scoping Review.JAMA network open · 2026Article
- Development of a confidence-based Natural Language Processing tool to identify inflammatory arthritis from non-inflammatory conditions in Rheumatology medical notes.Arthritis research & therapy · 2026Article
- Performance and safety of a fine-tuned small language model for pediatric emergency triage: A benchmark study.PloS one · 2026Article
- Large language models in emergency and critical care medicine: a comprehensive review of applications, challenges, and future directions.Burns & trauma · 2026Review
- Insights into the adoption of innovative clinical trials across therapeutic areas using clinical trials registry data and large Language models.Scientific reports · 2025Article
- Critical care studies using large language models based on electronic healthcare records: A technical note.Journal of intensive medicine · 2025Review
- A Large Language Model-Based Approach for Coding Information from Free-Text Reported in Fall Risk Surveillance Systems: New Opportunities for In-Hospital Risk Management.Journal of clinical medicine · 2025Article
- Large language models improve the identification of emergency department visits for symptomatic kidney stones.Scientific reports · 2025Article
- Evaluation of the accuracy of large language models in answering bone cancer-related questions.Frontiers in public health · 2025Article
- Large language models for accurate disease detection in electronic health records: the examples of crystal arthropathies.RMD open · 2024Article
- ChatGPT-4 extraction of heart failure symptoms and signs from electronic health records.Progress in cardiovascular diseasesArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 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.