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消化数字健康:对聊天GPT生成的胃肠道信息的适当性和可读性的研究
Avi Toiv1, Zachary Saleh2, Angela Ishak1
1Department of Internal Medicine, Henry Ford Hospital, Detroit, Michigan, USA.
Clinical and translational gastroenterology
|August 30, 2024
概括
像ChatGPT这样的人工智能聊天机器人提供了一些有用的胃肠病学信息,但在准确性和可读性方面存在局限性. 需要进一步的开发才能完全信任他们进行医疗查询.
科学领域:
- 人工智能在医学中的应用
- 医疗信息学 医疗信息学
- 胃肠病学 胃肠病学
背景情况:
- 大型语言模型 (LLM) 为患者获得医疗信息提供了新的途径.
- 聊天生成预训练变压器 (ChatGPT) 是一种能够生成交互式响应的AI模型.
- 评估人工智能产生的医疗内容的质量至关重要.
研究的目的:
- 评估ChatGPT提供的胃肠病学信息的适当性和可读性.
- 确定人工智能产生的内容对胃肠道疾病的临床效用.
主要方法:
- 分析了对29个胃肠道学相关查询 (基于症状和基于定义) 的ChatGPT响应.
- 经验丰富的胃肠病学家使用6类利克尔特等级来评估反应的适当性.
- 使用Flesch阅读易度,Flesch-Kinkaid阅读水平和Gobbledygook分数的简单测量来测量可读性.
主要成果:
- 聊天GPT为44%的基于症状的查询和69%的基于定义的查询提供了适当的响应.
- 没有对胃肠道紧急问题的回答被认为是适当的.
- 输出通常以大学水平的阅读能力写作.
结论:
- 聊天GPT可以为胃肠病学查询生成一般合适的响应,但在适当性和可读性方面存在局限性.
- 目前的人工智能模型需要大幅改进,才能成为可靠的医疗信息来源.
- 在广泛的临床认可之前,需要进一步的研究和开发.
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