在医疗病例报告中整合和评估ChatGPT:一个多方面的方法
Kuan-Chen Lin1, Tsung-An Chen1, Ming-Hwai Lin1,2
1Department of Family Medicine, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Road, Taipei 11217, Taiwan.
概括
这项研究分析了使用ChatGPT的66份医疗病例报告,发现其主要用于信息检索和内容生成. 限制包括不准确性和缺乏临床背景,突出了医生专业知识的需要.
科学领域:
- 医学写作 医学写作
- 人工智能在医学中的应用
- 图书统计学 图书统计学
背景情况:
- 像ChatGPT这样的大型语言模型越来越多地用于医学写作.
- 病例报告是记录患者疾病轨迹的关键格式.
- 了解ChatGPT在医疗病例报告生成中的作用至关重要.
研究的目的:
- 探索ChatGPT在医学写作中的整合和影响,特别是在病例报告中.
- 在案例报告中分析ChatGPT的应用类别,局限性和发布趋势.
- 从医生的专业知识区分生成AI的能力.
主要方法:
- 对使用ChatGPT的66份病例报告进行了图书统计分析,并被PubMed.
- 聊天GPT应用程序的分类和在案例报告写作中的限制.
- 随着时间的推移,应用类别的趋势分析.
主要成果:
- 发现了使用ChatGPT的66个案例报告,主要使用在线版本和英语输入.
- 信息检索和内容生成是最常见的应用类别.
- 引用的局限性包括不准确性和缺乏临床背景.
结论:
- 聊天GPT在医疗病例报告中主要用于信息检索和内容生成.
- 对准确性和临床背景的担忧强调了医生专业知识不可或缺的作用.
- 生成型人工智能工具补充,但不能取代临床医生的批判性思维和专业判断.
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