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在母胎医学实践中的ChatGPT:临床医生的一本入门书

Rebecca Horgan¹, Juliana G Martins², George Saade²

¹Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Eastern Virginia Medical School, Norfolk, VA..

American journal of obstetrics & gynecology MFM

|January 28, 2024

概括

聊天GPT可以生成高准确度的患者信息表,但可能会省略关键细节,缺乏可验证的来源. 它显示出作为临床辅助的潜力,而不是公共卫生保健信息工具.

科学领域:

人工智能在医学中的应用
自然语言处理自然语言处理.
医疗保健信息学医疗保健信息学

背景情况:

像ChatGPT这样的大型语言模型为改善医疗信息可访问性提供了潜力.
在2022年11月推出的OpenAI的ChatGPT,使用深度学习来生成类似人类的文本.
将人工智能整合到医疗保健中可以增强患者和专业人员的信息传播.

研究的目的:

评估ChatGPT在生成患者信息表方面的能力.
评估人工智能生成的医疗内容的准确性和完整性.
探索ChatGPT作为临床实践中的工具的实用性.

主要方法:

聊天GPT生成了五个患者信息传单.
四名孕产妇医生使用预定义的尺度对说明书的准确性和完整性进行了评分.
医生反重点是信息的准确性,完整性和临床相关性.

主要成果:

通过ChatGPT生成的传单获得了4.8/6的中位精度得分和2.2/3.3的中位完整度得分.
医生们注意到,一些传单中遗漏了临床上重要的信息.
一个关键的问题是无法验证信息来源,因为ChatGPT没有提供引用.

结论:

聊天GPT展示了创建患者信息的潜力,在准确性方面得分很高.
遗漏和缺乏可验证的来源需要谨慎.
在临床环境中,ChatGPT应该被视为一种补充工具,在公开使用之前需要进一步验证.

关键词:

聊天GPT 聊天GPT 聊天人工智能的人工智能是人工智能.母胎医学产科产科产科患者咨询咨询患者咨询

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