测试ChatGPT回答非专业人士关于心脏骤停和心肺复苏问题的能力
Tommaso Scquizzato1, Federico Semeraro2, Paul Swindell3
1Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Resuscitation
|December 11, 2023
概括
聊天GPT为非专业人士提供了关于心脏骤停的准确答案,尽管CPR信息得分较低. 未来人工智能产生的健康内容需要仔细监控,以确保准确性和清晰度.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 紧急医疗 紧急医疗
背景情况:
- 心脏骤停 (CA) 和心肺复苏 (CPR) 引发了众多公共问题.
- 在备受目的案件中,对CA和CPR的兴趣增加.
- 像ChatGPT这样的大型语言模型 (LLM) 提供了可访问的信息,但存在不准确的风险.
研究的目的:
- 评估ChatGPT对非专业人士有关心脏骤停和心肺复苏问题的答案的准确性和质量.
- 评估ChatGPT为幸存者,亲属和潜在的救援人员提供信息.
主要方法:
- 一份由40个CA和CPR问题组成的清单与英国突然心脏骤停成员共同制作.
- 专业人士和普通人对ChatGPT的答案进行了准确性,相关性,清晰性,全面性和价值的评估.
- 还评估了答案的可读性.
主要成果:
- 聊天GPT的答案得到了14名专业人士和16名非专业人士的高整体评价 (4.3/5).
- 准确性 (4.0/5),相关性 (4.3/5),和清晰度 (4.4/5) 均被评为高.
- 与心肺复苏相关的答案得分较低,可读性具有挑战性 (弗莱什得分34).
结论:
- 聊天GPT为公众提供了关于心脏骤停的大部分准确和全面的信息,但在心肺复苏细节方面存在明显的局限性.
- 在医疗保健信息传播方面,LLM显示出显著的未来潜力.
- 持续监测人工智能产生的健康内容对于患者安全至关重要.
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