{"title":"ChatGPT为非创伤性胸痛患者提供了不一致的风险分层","authors":"Thomas F. Heston, Lawrence M. Lewis","doi":"10.1101/2023.11.29.23299214","DOIUrl":null,"url":null,"abstract":"<strong>BACKGROUND</strong> ChatGPT is a large language model with promising healthcare applications. However, its ability to analyze complex clinical data and provide consistent results is poorly known. This study evaluated ChatGPT-4’s risk stratification of simulated patients with acute nontraumatic chest pain compared to validated tools.","PeriodicalId":501290,"journal":{"name":"medRxiv - Emergency Medicine","volume":"39 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ChatGPT Provides Inconsistent Risk-Stratification of Patients With Atraumatic Chest Pain\",\"authors\":\"Thomas F. Heston, Lawrence M. Lewis\",\"doi\":\"10.1101/2023.11.29.23299214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>BACKGROUND</strong> ChatGPT is a large language model with promising healthcare applications. However, its ability to analyze complex clinical data and provide consistent results is poorly known. This study evaluated ChatGPT-4’s risk stratification of simulated patients with acute nontraumatic chest pain compared to validated tools.\",\"PeriodicalId\":501290,\"journal\":{\"name\":\"medRxiv - Emergency Medicine\",\"volume\":\"39 7\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Emergency Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2023.11.29.23299214\",\"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 - Emergency Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2023.11.29.23299214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ChatGPT Provides Inconsistent Risk-Stratification of Patients With Atraumatic Chest Pain
BACKGROUND ChatGPT is a large language model with promising healthcare applications. However, its ability to analyze complex clinical data and provide consistent results is poorly known. This study evaluated ChatGPT-4’s risk stratification of simulated patients with acute nontraumatic chest pain compared to validated tools.
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