在MKSAP心脏病委员会审查问题上评估ChatGPT的性能
Stefan Milutinovic1, Marija Petrovic2, Dustin Begosh-Mayne1
1Florida State University College of Medicine Internal Medicine Residency Program at Lee Health, Cape Coral, Florida, USA.
International journal of cardiology
|September 21, 2024
概括
聊天GPT在心血管医学董事会式问题上表现适度,与住院医生相比,但低于心脏病医生的表现. 为了可靠的医学教育工具,需要进一步开发人工智能.
科学领域:
- 人工智能在医学中的应用
- 医疗教育 技术 技术 医学教育
- 自然语言处理自然语言处理.
背景情况:
- 人工智能 (AI) 和ChatGPT等自然语言处理工具显示了增强医疗实践的潜力.
- 关于人工智能在提高医疗效率和减少医疗错误方面的作用,正在进行讨论.
研究的目的:
- 评估ChatGPT (版本3.5和4) 在回答心血管医学委员会式问题的性能.
- 将AI性能与内科住院医生和主治医生进行比较.
主要方法:
- 使用了医学知识自我评估计划 (MKSAP) 心血管医学章节的98个多选择题.
- 评估了ChatGPT-3.5,ChatGPT-4,内科实习生,高级住院医生,内科主治医生和心脏病主治医生的表现.
主要成果:
- 聊天GPT-4的准确率达到74.5%,相当于住院医生和内科医生的准确率,但低于心脏病医生的准确率 (85.7%).
- 在大多数子类别中,在ChatGPT和医生之间没有发现显著差异,除了膜心脏病和心力衰竭.
- 在心力衰竭问题上,ChatGPT-4的表现优于老年居民.
结论:
- 聊天GPT是一个有前途的教育工具,但需要提高准确性来超越教练.
- 人工智能性能需要接近近乎完美的分数,才能被认为是医疗专业人员可靠的工具.
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