医生和大型语言模型聊天机器人对在线耳鼻喉查询的反应的比较
Masaomi Motegi1, Masato Shino2,3, Mikio Kuwabara2
1Department of Otolaryngology-Head and Neck Surgery, Gunma University Graduate School of Medicine, 3-39-15 Showamachi, Maebashi, Gunma, 371-8511, Japan. m_motegi@gunma-u.ac.jp.
Scientific reports
|July 2, 2025
概括
像ChatGPT-4这样的大型语言模型 (LLM) 可以提高医疗信息质量. 在耳鼻喉科,人工智能聊天机器人比医生提供了更优秀,更同情和更准确的建议.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
背景情况:
- 大型语言模型 (LLM) 显示了提高医疗信息可访问性和质量的潜力.
- 对人类专家进行AI性能评估对于安全整合到临床工作流程至关重要.
研究的目的:
- 为了比较ChatGPT-4反应的质量和可靠性,与耳鼻喉科的医生撰写的建议进行比较.
- 确定影响人工智能产生的医疗信息质量的因素.
主要方法:
- 使用了来自社交媒体论坛的匿名真实世界基于文本的查询.
- 聊天GPT-4生成了对这些查询的回复.
- 一个由七名经过董事会认证的耳鼻喉科医生组成的小组根据六个标准评估了AI和医生的反应.
主要成果:
- 在70.7%的病例中,ChatGPT-4反应是首选的,并且比医生反应要长得多.
- 在所有评估标准中,人工智能聊天机器人获得了更高的评分,包括质量,同情心,准确性和遵守医学共识.
- 更高质量的AI反应与更大的同情心,更好地与医学共识保持一致,以及更低的危害潜力有关.
结论:
- 与医生相比,ChatGPT-4在提供耳鼻喉科咨询方面表现优越.
- 在医疗咨询中整合人工智能工具可以提高向患者提供的医疗信息的质量和全面性.
- 人工智能可以帮助医生更有效地解决复杂的医疗问题.
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