人工智能生成的日语临床标签可以在医学和语言方面使用吗?
Yasutaka Yanagita1, Daiki Yokokawa2, Shun Uchida3
1Department of General Medicine, Chiba University Hospital, Chiba, Japan. y.yanagita@gmail.com.
Journal of general internal medicine
|September 23, 2024
概括
生成型人工智能 (AI) 可以为医学教育创建准确和有用的临床细节. 这项研究发现,97%的人工智能生成的图片在医生审查后实际上是有用的,优化了图片的创建.
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
- 自然语言处理自然语言处理.
背景情况:
- 创建临床图片是劳动密集型的.
- 生成性人工智能为高效和多样化的图片生成提供了潜力.
研究的目的:
- 评估人工智能生成的日语临床图片的医学准确性和语法正确性.
- 评估这些人工智能生成的图片的实际实用性.
主要方法:
- 根据特定的患者数据,GPT-4-0613生成了202个临床图片.
- 维涅特纳入了来自日本初级保健医师培训计划的疾病.
- 三名医生使用5分级别对视频的医学和语言准确性进行了评分.
主要成果:
- 118个片段 (58%) 获得了高医疗准确度 (≥13分).
- 142个短片 (70%) 取得了高的日语准确度 (≥13分).
- 97%的图片被认为实际上是有用的,只需稍微修改.
结论:
- 人工智能生成的临床图片在很大程度上是准确的,对医学教育很有用.
- 人工智能显著优化了医生创建贴纸的耗时过程.
- 这项技术增强了多样化和相关的临床学习材料的开发.
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