Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review

BackgroundInformation overload in electronic health records requires effective solutions to alleviate clinicians’ administrative tasks. Automatically summarizing clinical text has gained significant attention with the rise of large language models. While individual studies sh...

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Bibliographic Details
Main Authors: Lydie Bednarczyk, Daniel Reichenpfader, Christophe Gaudet-Blavignac, Amon Kenna Ette, Jamil Zaghir, Yuanyuan Zheng, Adel Bensahla, Mina Bjelogrlic, Christian Lovis
Format: Article
Language:English
Published: JMIR Publications 2025-05-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2025/1/e68998
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