ArticleJAMA network open2024
Accuracy, Consistency, and Hallucination of Large Language Models When Analyzing Unstructured Clinical Notes in Electronic Medical Records.
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 37 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
37 citing papers in PubMed.
- The Double-Edged Sword Effect of AI Application Among Clinical Nurses Based on the Job Demands-Resources Model: Qualitative Study.JMIR nursing · 2026Article
- Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation.IEEE transactions on bio-medical engineering · 2026Review
- Mapping the generative era: a bibliometric and specialty-focused analysis of large language models in healthcare.Visual computing for industry, biomedicine, and art · 2026Article
- Diagnostic Performance and Workup Efficiency of Large Language Models in Secondary Hypertension: A Blinded Comparative Study.Diagnostics (Basel, Switzerland) · 2026Article
- Authoritative Textbook-Augmented Large Language Models for High-Altitude Public Health Medical Education in the Xizang Autonomous Region: Cross-Sectional Comparative Evaluation Study.Journal of medical Internet research · 2026Article
- Automated full-text screening and accelerated reviews using large language models with context-aware agents: an exploratory analysis in biomarker research.European heart journal. Digital health · 2026Article
- Large language models approach clinician performance in ESC cardiovascular risk stratification: a vignette-based benchmark study.European heart journal. Digital health · 2026Article
- Application of Sparse Autoencoders to Enhance Mechanistic Interpretability of Large Language Models in Medicine.JMIR AI · 2026Article
- Feasibility and challenges of large language model (LLM)-generated neonatal resuscitation simulations: a multicenter exploratory study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026Article
- Comparative performance of large language models in answering cornea and cataract surgery questions for resident training.BMC ophthalmology · 2026Article
- Diagnostic Accuracy of Large Language Models for Rare Diseases: A Systematic Review and Meta-Analysis.medRxiv : the preprint server for health sciences · 2026Article
- Engineering framework for curiosity-driven and humble AI in clinical decision support.BMJ health & care informatics · 2026Article
- Matching Patients With Cell Surface-Targeted Clinical Trials Using Large Language Models.JCO precision oncology · 2026Article
- Applications of Large Language Models in Glaucoma: A Scoping Review.Vision (Basel, Switzerland) · 2026Review
- Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study.JMIR formative research · 2026Article
- Large Language Models for Preoperative Microvascular Invasion Prediction in Hepatocellular Carcinoma: A Multicenter Comparison with Radiologists and Treatment Outcomes.Journal of hepatocellular carcinoma · 2026Article
- Risk-centered benchmarking of large language models for AI-enabled counseling in chronic autoimmune thyroid eye disease.Frontiers in cell and developmental biology · 2026Article
- Improving reliability and accuracy of structured data extraction using a consensus large-language model approach-a use case description in multiple sclerosis.Frontiers in artificial intelligence · 2026Article
- Enhancing patient participation in emergency department through patient-friendly clinical notes generated by large language models.Scientific reports · 2025Article
- Large Language Models for Drug-Related Adverse Events in Oncology Pharmacy: Detection, Grading, and Actioning.Pharmacy (Basel, Switzerland) · 2025Review
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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Indexed as
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39136951What 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.