通过ChatGPT-4在日语中生成的临床图片的教育实用性:混合方法研究研究
Hiromizu Takahashi1, Kiyoshi Shikino2, Takeshi Kondo3
1Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
JMIR medical education
|August 13, 2024
概括
人工智能 (AI) 产生的医疗病例显示出对教育的希望,但需要精细化以获得准确性和现实性. 聊天GPT-4案例是有用的,但需要专家监督,以在医疗培训中获得最佳应用.
科学领域:
- 医疗教育 技术 技术 医学教育
- 医疗保健中的人工智能
- 临床病例模拟 临床病例模拟
背景情况:
- 评估人工智能产生的医疗病例,特别是来自像ChatGPT-4这样的大型语言模型,是必不可少的,但研究不足.
- 人工智能创建的临床场景的准确性和教育价值需要进行彻底的评估.
研究的目的:
- 评估ChatGPT-4生成的日语临床片段的教育实用性.
- 确定AI产生的医疗病例在教育环境中的适用性.
主要方法:
- 一个融合混合方法设计,使用71名医生的基于网络的调查.
- 通过使用6个质量和实用性指标,对18个ChatGPT-4产生的日本医疗病例进行评估.
- 统计分析 (基平方,曼-惠特尼U,回归) 和定性反的专题分析.
主要成果:
- 医生认为信息质量 (0.77) 和准确性 (0.68) 是令人满意的.
- 获得了教育有用性 (3.55),临床匹配 (3.70) 和术语准确性 (3.49) 的平均分数.
- 在病例质量 (P<.001) 中发现了显著的变化,并提出了改善物理发现,自然语言和术语准确性的建议.
结论:
- 通过ChatGPT-4生成的医疗病例显示出作为医学教育资源的巨大潜力.
- 虽然这些AI案例在质量和准确性方面充足,但需要在细节准确性和现实性方面进行改进.
- 聊天GPT-4是一个有价值的辅助教育工具,需要专家监督才能有效实施.
关键词:
在这里,我们可以看到AIAIAI.聊天GPT-4 聊天GPT-4 聊天日本 日本 日本 日本 日本.日本人 日本人 日本人 日本人人工智能的人工智能是人工智能.临床记载 临床记载 临床记载生成型的人工智能医疗病例的产生医学教育 医学教育更多相关视频
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