癌症症状管理中的AI生成内容:聊天GPT和NCCN之间的比较分析
David Lazris1, Yael Schenker2, Teresa Hagan Thomas3
1Department of Medicine, (D.L, Y.C), University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Journal of pain and symptom management
|June 28, 2024
概括
像ChatGPT这样的人工智能工具提供了可访问的癌症症状建议,但他们的建议与国家综合癌症网络 (NCCN) 的指导方针不同,这引发了对患者护理的担忧.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 来自像ChatGPT这样的AI工具的在线健康信息是常见的.
- 人工智能产生的内容与专业治疗指南的研究有限.
- 这项研究将ChatGPT的癌症症状建议与NCCN指南进行比较.
研究的目的:
- 将人工智能产生的症状管理建议与既定的临床指南进行比较.
- 评估ChatGPT和NCCN对癌症患者的建议之间的一致性.
- 评估人工智能生成的信息与基于指南的信息的可读性和简洁性.
主要方法:
- 提取了九种与癌症相关的症状的NCCN治疗建议.
- 查询了ChatGPT-3.5以获得类似症状管理建议.
- 对药物,咨询和非药物战略进行了比较内容分析.
- 分析了词数和弗莱什-金凯德等级水平 (FKGL) 以提高可读性.
主要成果:
- NCCN和ChatGPT之间的平均一致率为37.3%.
- NCCN提供了更具体的药物建议;ChatGPT建议用于便秘/腹的未列出的药物.
- 聊天GPT的内容比NCCN的指导方针要简洁和易读 (FKGL较低).
结论:
- 聊天GPT和NCCN指南之间的差异使得人工智能驱动的患者建议需要谨慎.
- 人工智能工具提供了可访问的信息,但需要根据基于证据的标准进行验证.
- 未来的研究应该探索将人工智能与最佳癌症患者支持指南相结合.
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