An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
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Author / Creator
Ma, Chong , Wu, Zihao , Wang, Jiaqi , Xu, Shaochen , Yaonai Wei , Zeng, Fang , Liu, Zhengliang , Jiang, Xi , Guo, Lei , Cai, Xiaoyan , Zhang, Shu , Zhang, Tuo , Zhu, Dajiang , Shen, Dinggang , Liu, Tianming and Li, Xiang
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
The 'Impression' section of a radiology report is a critical basis for communication between radiologists and other physicians, and it is typically written by radiologists based on the 'Findings' section. However, writing numerous impressions can be laborious and error-prone for radiologists. Although recent studies have achieved promising results...
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An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
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TN_cdi_proquest_journals_2802662467
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2802662467
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2304.08448
