大型语言模型聊天机器人的能力,以帮助骨科管理,研究和患者查询
Branden R Sosa1, Michelle Cung1, Vincentius J Suhardi2
1Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, New York, USA.
概括
大型语言模型 (LLM) 聊天机器人可以总结骨科信息. 在经过测试的AI聊天机器人中,ChatGPT在骨科查询的准确性方面表现最好,尽管它们都有局限性.
科学领域:
- 整形外科科学 整形外科科学
- 人工智能在医学中的应用
背景情况:
- 大型语言模型 (LLM) 聊天机器人为合成复杂的骨科信息提供了潜力.
- 这些人工智能工具可能成为患者,临床医生和骨科研究人员的宝贵资源.
研究的目的:
- 评估三个著名的LLM聊天机器人 (ChatGPT,Bard,Bing AI) 在回答骨科相关询问方面的表现.
- 为了比较它们在提供有关骨科科学和临床管理的信息方面的准确性和完整性.
主要方法:
- 评估了ChatGPT,Bard和Bing AI对骨科查询的响应.
- 根据所提供的信息的相关性,准确性和完整性评估聊天机器人.
主要成果:
- 所有聊天机器人都产生了相关的响应,但ChatGPT表现出了卓越的性能.
- 与Bard和BingAI相比,ChatGPT提供了更准确和更完整的解答.
结论:
- 在传播骨科知识方面,LLM聊天机器人显示出前景,ChatGPT目前在性能方面处于领先地位.
- 观察到的局限性包括不完整的信息,缺乏上下文和过时的数据,需要进一步评估其风险和益处.
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