聊天机器人的准确性和可靠性 回答医生的问题
Rachel S Goodman1, J Randall Patrinely2, Cosby A Stone3
1Vanderbilt University School of Medicine, Nashville, Tennessee.
JAMA network open
|October 2, 2023
概括
人工智能聊天机器人为医生提供大多数准确的医疗信息,准确性随着时间的推移和不同版本的改进而提高. 然而,局限性需要进一步的研究和开发用于临床使用.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 像ChatGPT这样的自然语言处理工具有可能改善专业人员和患者的医疗信息可访问性.
- 在临床环境中评估人工智能聊天机器人的安全性和有效性对于决策和医疗保健效率至关重要.
研究的目的:
- 评估人工智能聊天机器人对医生生成的医学问题的答案的准确性和完整性.
- 确定人工智能生成的医疗信息的可靠性和局限性.
主要方法:
- 17个专业的33名医生产生了284个医学问题.
- 医生对聊天机器人回答的准确性 (六分级) 和完整性 (三分级) 进行了评分.
- 对GPT-3.5和GPT-4的反应进行了比较,并随着时间的推移重新评估.
主要成果:
- 准确度中位数为5.5 (共6分),完成度中位数为3.0 (共3分).
- 准确性随着问题的难度略有下降,但对于二进制和描述性问题仍然很高.
- 重复查询和使用GPT-4显著提高了响应准确度.
结论:
- 人工智能聊天机器人为医生查询生成了很大程度上准确的医疗信息,随着时间的推移和最新版本的显著改进.
- 尽管精度高,但存在局限性,表明在广泛临床采用之前需要进一步研究,模型开发和验证.
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