通过人工智能ChatBot搜索慢性鼻炎的医疗信息
Arsany Yassa1, Olivia Ayad2,3,4, David Avery Cohen5
1Department of Otolaryngology-Head and Neck Surgery Rutgers New Jersey Medical School Newark New Jersey USA.
Laryngoscope investigative otolaryngology
|September 11, 2024
概括
聊天GPT提供关于慢性鼻炎 (CRS) 的一般可靠信息,但准确性可能有所不同. 患者和临床医生应谨慎地使用人工智能生成的医疗建议,与既定指南进行交叉引用.
科学领域:
- 医疗保健中的人工智能
- 医疗信息传播 医疗信息传播
- 患者教育 技术 技术
背景情况:
- 在网上传播的健康错误信息需要可靠的患者信息来源.
- 像ChatGPT这样的人工智能 (AI) 工具正在越来越多地探索它们在医疗保健中的潜力.
- 慢性鼻炎 (CRS) 是一种常见的疾病,需要准确和准确的患者指导.
研究的目的:
- 评估ChatGPT生成的关于慢性鼻炎 (CRS) 的信息的准确性和可读性.
- 评估ChatGPT在提供关于CRS定义,患病率,原因,症状和治疗的细节方面的有效性.
- 将人工智能生成的内容与已建立的CRS管理临床指南进行比较.
主要方法:
- 关于CRS的六个不同的查询被输入到ChatGPT.
- 对答案进行了评估,并根据"国际共识声明"对鼻炎的过敏和鼻科指南进行了评估.
- 使用ANOVA和趋势分析分析了可读性指标 (Flesch阅读易度,Flesch-Kincaid等级水平) 和被动语音使用.
主要成果:
- 聊天GPT对CRS的反应在很大程度上与现有的医学文献一致,尽管存在一些小差异.
- 在所有类别中,可读性得分表明Flesch阅读易度为40.42%和Flesch-Kincaid等级水平为12.13.
- 在不同CRS信息类别中,ANOVA没有显示出可读性在统计学上显著的差异 (p > 0.05).
结论:
- 聊天GPT展示了作为患者和医疗保健提供者访问CRS医疗信息的工具的潜力.
- 用户应谨慎使用,因为人工智能生成的信息可能并不总是完全符合临床指南或适合所有教育水平.
- 需要进一步验证,以确保人工智能生成的医疗内容的一致准确性和适当性.
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