Use of a Large Language Model to Identify and Classify Injuries With Free-Text Emergency Department Data
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DOI: 10.1001/jamanetworkopen.2024.13208
Abstract: This cross-sectional study assesses the accuracy, sensitivity, and specificity of a large language model used to process unstructured, non-English emergency department (ED) data in medical records. read more here.
Keywords: large language; language model; language; department data ... See more keywords
Developing and Evaluating Large Language Model–Generated Emergency Medicine Handoff Notes
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DOI: 10.1001/jamanetworkopen.2024.48723
Abstract: This cohort study evaluates large language model (LLM)–generated emergency medicine–to-inpatient handoff notes and evaluates their accuracy and safety compared with physician-written notes. read more here.
Keywords: large language; emergency medicine; language model; language ... See more keywords
Research Domain Criteria in NIMH Grants Characterized Using Large Language Models
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DOI: 10.1001/jamanetworkopen.2024.59371
Abstract: This cohort study uses a large language model to examine changes in research funding from the National Institute of Mental Health (NIMH) for Research Domain Criteria domains and transdiagnostic investigation. read more here.
Keywords: large language; research domain; criteria nimh; domain criteria ... See more keywords
Characterizing Spin in Psychiatric Clinical Research Literature Using Large Language Models
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DOI: 10.1001/jamanetworkopen.2024.59500
Abstract: This quality improvement study describes the use of a large language model (LLM) to detect biased reporting in abstracts of psychiatric clinical research. read more here.
Keywords: large language; language; clinical research; characterizing spin ... See more keywords
Identification of Long-Term Care Facility Residence From Admission Notes Using Large Language Models
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DOI: 10.1001/jamanetworkopen.2025.12032
Abstract: Key Points Question Can large language models (LLMs) identify patients who lived in a long-term care facility (LTCF) in the preceding year, and are therefore at high antimicrobial resistance risk, from free-text admission histories? Findings… read more here.
Keywords: large language; residence; care; language ... See more keywords
Dedicated AI Expert System vs Generative AI With Large Language Model for Clinical Diagnoses
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DOI: 10.1001/jamanetworkopen.2025.12994
Abstract: Key Points Question How does the performance of a dedicated artificial intelligence (AI) expert system for clinical diagnosis compare with that of 2 generative AI large language models (LLMs)? Findings In this diagnostic study, the… read more here.
Keywords: system; large language; generative large; language ... See more keywords
Fidelity of Medical Reasoning in Large Language Models
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DOI: 10.1001/jamanetworkopen.2025.26021
Abstract: This cross-sectional study evaluates whether the performance of large language models on medical benchmarks reflects logical reasoning or pattern recognition. read more here.
Keywords: large language; reasoning large; fidelity medical; medical reasoning ... See more keywords
Evaluating Hospital Course Summarization by an Electronic Health Record–Based Large Language Model
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DOI: 10.1001/jamanetworkopen.2025.26339
Abstract: This quality improvement study evaluates differences in effort among resident physicians editing large language model–generated vs physician-generated hospital courses. read more here.
Keywords: hospital course; large language; evaluating hospital; language model ... See more keywords
Optimizing Order Sets With a Large Language Model–Powered Multiagent System
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DOI: 10.1001/jamanetworkopen.2025.33277
Abstract: This study evaluates a large language model–powered multiagent system compared with physician preferences to improve the accuracy, relevance, and efficiency of order set optimization in clinical decision support. read more here.
Keywords: large language; language model; language; powered multiagent ... See more keywords
Large Language Model Performance on Practice Epilepsy Board Examinations.
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DOI: 10.1001/jamaneurol.2024.0676
Abstract: This diagnostic study examines whether large language models are able to pass practice licensing examinations for epilepsy. read more here.
Keywords: large language; model performance; language model; language ... See more keywords
Development and Evaluation of a Retrieval-Augmented Large Language Model Framework for Ophthalmology
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DOI: 10.1001/jamaophthalmol.2024.2513
Abstract: This quality improvement study discusses the challenges of knowledge inaccuracies and data privacy issues when using large language models in ophthalmology and how to overcome them. read more here.
Keywords: large language; ophthalmology development; ophthalmology; development evaluation ... See more keywords