The use of large language models in detecting Chinese ultrasound report errors

Abstract This retrospective study evaluated the efficacy of large language models (LLMs) in improving the accuracy of Chinese ultrasound reports. Data from three hospitals (January-April 2024) including 400 reports with 243 errors across six categories were analyzed. Three GPT versions and Claude 3....

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Autors principals:	Yuqi Yan, Kai Wang, Bojian Feng, Jincao Yao, Tian Jiang, Zhiyan Jin, Yin Zheng, Yahan Zhou, Chen Chen, Lin Sui, Xiayi Chen, Yanhong Du, Jie Yang, Qianmeng Pan, Lingyan Zhou, Vicky Yang Wang, Ping Liang, Dong Xu
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-01-01
Col·lecció:	npj Digital Medicine
Accés en línia:	https://doi.org/10.1038/s41746-025-01468-7
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