Fully automatic summarization of radiology reports using natural language processing with large language models

Fully automatic summarization of radiology reports using natural language processing with large language models

Purpose: Natural language processing using language models has yielded promising results in various fields. Language models can help improve the workflow of radiologists. This retrospective study aimed to construct and evaluate language models for automatic summarization of radiology reports. Method...

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Bibliographic Details
Main Authors: Mizuho Nishio, Takaaki Matsunaga, Hidetoshi Matsuo, Munenobu Nogami, Yasuhisa Kurata, Koji Fujimoto, Osamu Sugiyama, Toshiaki Akashi, Shigeki Aoki, Takamichi Murakami
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Transformer
Natural language processing
Radiology report
Summarization
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914824000212

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http://www.sciencedirect.com/science/article/pii/S2352914824000212

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