ChatGPT Provides Inconsistent Risk-Stratification of Patients With Atraumatic Chest Pain

Thomas F. Heston, Lawrence M. Lewis
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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.
ChatGPT为非创伤性胸痛患者提供了不一致的风险分层
ChatGPT是一种大型语言模型,具有很好的医疗保健应用程序。然而,其分析复杂临床数据并提供一致结果的能力尚不为人所知。本研究评估了ChatGPT-4对模拟急性非创伤性胸痛患者的风险分层,并与验证工具进行了比较。
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