{"title":"先验概率信息对放射诊断中大语言模型性能的影响","authors":"Takahiro Fukushima, Ryo Kurokawa, Akifumi Hagiwara, Yuki Sonoda, Yusuke Asari, Mariko Kurokawa, Jun Kanzawa, Wataru Gonoi, Osamu Abe","doi":"10.1101/2024.08.27.24312693","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> Large language models (LLMs) show promise in radiological diagnosis, but their performance may be affected by the context of the cases presented.","PeriodicalId":501358,"journal":{"name":"medRxiv - Radiology and Imaging","volume":"26 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of Prior Probability Information on Large Language Model Performance in Radiological Diagnosis\",\"authors\":\"Takahiro Fukushima, Ryo Kurokawa, Akifumi Hagiwara, Yuki Sonoda, Yusuke Asari, Mariko Kurokawa, Jun Kanzawa, Wataru Gonoi, Osamu Abe\",\"doi\":\"10.1101/2024.08.27.24312693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background</strong> Large language models (LLMs) show promise in radiological diagnosis, but their performance may be affected by the context of the cases presented.\",\"PeriodicalId\":501358,\"journal\":{\"name\":\"medRxiv - Radiology and Imaging\",\"volume\":\"26 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Radiology and Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.08.27.24312693\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Radiology and Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.27.24312693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Influence of Prior Probability Information on Large Language Model Performance in Radiological Diagnosis
Background Large language models (LLMs) show promise in radiological diagnosis, but their performance may be affected by the context of the cases presented.
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