采用ChatGPT用于鼻科患者教育:手术子专业的局限性
Alice E Huang1, Michael T Chang1, Ashoke Khanwalkar2
1Department of Otolaryngology-Head and Neck Surgery Stanford University School of Medicine Stanford California USA.
聊天GPT对常见的鼻科问题的答案的准确性有所变化,80%是不正确的,错误的或不完整的. 这凸显了人工智能在特殊医学领域 (如鼻科) 的局限性.
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:
- 越来越多的人工智能 (AI) 聊天机器人 (如ChatGPT) 的使用,需要在专门的医疗领域评估它们的准确性.
- 面向患者的医疗信息需要高度的准确性和可靠性,特别是在子专业领域.
研究的目的:
- 为了评估ChatGPT (3.5版本) 对鼻科常见患者问题的答案的准确性.
- 将人工智能生成的答案与专家开发的共识答案进行比较.
主要方法:
- 十个常见的鼻科问题由受过培训的外科医生策划.
- 专家外科医生对聊天GPT的反应进行了评分,分级为0-3.
- 第二个小组试图区分人工智能和人类反应,并对人工智能答案进行分级.
主要成果:
- 聊天GPT的整体平均成绩为1.65/3.
- 10个问题中有8个从ChatGPT.com收到了不正确,错误或不完整的答案.
- 专家审查员能够以97.5%的准确度识别ChatGPT的响应.
结论:
- 聊天GPT为常见的鼻科问题提供了可变的准确信息.
- 该研究表明,当前的人工智能模型在提供专业领域可靠,细微的医疗信息方面存在重大局限性.
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