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The application of Large Language Models (LLMs) in healthcare is expanding rapidly, with one potential use case being the translation of formal medical reports into patient-legible equivalents.
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Automatic disease annotation from radiology reports using artificial intelligence implemented by a recurrent neural network
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Design and preliminary evaluation of a newly designed patient-friendly discharge letter: A randomized, controlled participant-blind trial
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21st century cures act: Implementation without understanding implication?
Gerber DE · 2022
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Utility of chatgpt in clinical practice
Liu J, Wang C, and Liu S · 2023
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Exploring the clinical translation of generative models like chatgpt: Promise and pitfalls in radiology, from patients to population health
Doo FX, Cook TS, Siegel EL, et al · 2023
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Can large language models generate outpatient clinic letters at first consultation that incorporate complication profiles from uk and usa aesthetic plastic surgery associations?
Roberts RHR, Ali SR, Dobbs TD, and Whitaker IS · 2023
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Reflexion: Language agents with verbal reinforcement learning, 2023
Shinn N, Cassano F, Berman E, Gopinath A, Narasimhan K, and Yao S · 2023
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Artificial intelligence to improve patient understanding of radiology reports, 2023
Amin K, Khosla P, Doshi R, Chheang S, and Forman HP · 2023
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The impact of large language model-generated radiology report summaries on patient comprehension: A randomized controlled trial
Berigan K, Short R, Reisman D, et al · 2024
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Issue 242. one agent for many worlds, cross-species cell embeddings, and more, 2024
Ng A · 2024
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Wu M, Yuan Y, Haffari G, and Wang L · 2024
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Simple-icd-10, 2024
Travasci S · 2024
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Readability, 2024
Readability · 2024
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Qub-cirdan at “discharge me!”: Zero shot discharge letter generation by open-source llm, 2024a
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Using chatgpt to write patient clinic letters, 2023
Ali S, Dobbs TD, Hutchings HA, and Whitaker IS · 2023
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Patient access of their radiology reports before and after implementation of 21st century cures act information-blocking provisions at a large multicampus health system
Pollock JR, Petty SA, Schmitz JJ, Varner J, Metcalfe AM, and Tan N · 2024
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Generative artificial intelligence to transform inpatient discharge summaries to patient-friendly language and format
Zaretsky J et al · 2024
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Evaluating the utility of chatgpt to convert clinic letters into patient-friendly language, 2024
Cork SC and Hopcroft K · 2024
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Patient-centered radiology reports with generative artificial intelligence: Adding value to radiology reporting
Park J, Oh K, Han K, et al
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Quantitative evaluation of large language models to streamline radiology report impressions: A multimodal retrospective analysis
Doshi R, Amin KS, Khosla P, Bajaj S, Chheang S, and Forman HP
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Guo R, Farnan G, McLaughlin N, and Devereux B · 2024
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Hallucination is inevitable: An innate limitation of large language models, 2024
Xu Z, Jain S, and Kankanhalli M · 2024
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Lüschow A and Wartena C · 2024
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Common data elements: Standardizing data collection, 2024
National Institutes of Health · 2024
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