人工智能聊天机器人在听力学和耳鼻喉学中传播错误信息有多容易?
W Wiktor Jedrzejczak1, Agata Szkiełkowska2, Danuta Raj-Koziak3
1Department of Experimental Audiology World Hearing Center, Institute of Physiology and Pathology of Hearing Warsaw Poland.
OTO open
|March 5, 2026
概括
这项研究评估了六种大型语言模型 (LLM) 的听力学和耳鼻喉学准确性. 格罗克聊天机器人展示了最高的准确性和一致性,显示了临床使用的潜力.
科学领域:
- 医疗保健中的人工智能
- 听力学和耳鼻喉学
背景情况:
- 大型语言模型 (LLM) 越来越多地被用作信息来源.
- 在听力学和耳鼻喉学等专业医疗领域的法学士的准确性尚未得到充分理解.
- 在医疗保健环境中,LLM有可能传播错误信息.
研究的目的:
- 为了评估六个受欢迎的聊天机器人的准确性 (ChatGPT,Gemini,Claude,DeepSeek,Grok,Mistral) 在听力学和耳鼻喉学.
- 评估聊天机器人对耳鼻喉护理未经证实的方法的反应.
- 确定在专业医疗领域LLM产生的信息的可靠性.
主要方法:
- 采用了横截面研究设计.
- 对六个聊天机器人提出了50个基于患者和临床医生的对话问题.
- 每个聊天机器人被测试了十次 (总共3000个响应),与专家的共识进行了比较,并使用Cohen's Kappa测量了响应的一致性.
主要成果:
- 大多数聊天机器人回复都是准确的,Grok显示与专家意见完全一致.
- 深度搜索的准确度最低,为95.8%,而Mistral的一致性最低 (0.96).
- 一般来说,聊天机器人避免支持未经证实的方法,但一些回复不同于专家的共识.
结论:
- 虽然通常是准确的,但一些聊天机器人响应可能无意中通过偏离专家共识来传播错误信息.
- 格罗克 (Grok) 成为了表现最好的人,提供了始终准确的信息,在听力学和耳鼻喉学中具有临床和教育应用的潜力.
- 需要进一步的研究来完善LLM的准确性,并确保安全地融入专业医疗领域.
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