{"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}
引用次数: 0
Abstract
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.