探索ChatGPT在解决有关结直肠癌查的直接患者查询方面的有效性
Marcello Maida1,2, Yuichi Mori3,4, Lorenzo Fuccio5,6
1Department of Medicine and Surgery, Kore University of Enna, Enna, Italy.
Endoscopy international open
|May 16, 2025
概括
像ChatGPT-4o这样的大型语言模型在回答患者生成的结肠直肠癌 (CRC) 查问题方面表现有前途. 这项研究发现,ChatGPT-4o提供了准确,完整和可理解的反应,提高了患者对CRC查信息的信心.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 卫生沟通健康沟通
背景情况:
- 大型语言模型 (LLM) 可以提高对结直肠癌 (CRC) 查的理解.
- 之前的研究使用了专家为LLMs生成的问题.
- 这项研究通过患者生成的查询来解决LLM的有效性.
研究的目的:
- 评估ChatGPT-4o在回答患者生成的CRC查问题方面的表现.
- 评估LLM答案的准确性,完整性和可理解性.
主要方法:
- 十名参与者 (50-69岁) 提出了关于CRC查情景的问题.
- 在两个会议中向ChatGPT-4o提出了问题.
- 专家和患者根据预先定义的标准对反应进行了评估.
主要成果:
- 专家们对准确性 (4.1/5),完整性 (4.2/5),可理解性 (4.3/5) 进行了评分.
- 患者发现反应是完整的 (97.5%),可以理解的 (95%) 和值得信赖的 (100%).
- 会议之间的反应相似性为86.8%.
结论:
- 聊天GPT-4o在回答患者生成的CRC查查询方面表现出有效性.
- 在提高患者对CRC查的理解和参与方面,LLM可以是一个有价值的工具.
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