创建门诊进展笔记:个性化和通用化模型的比较
Jinsig Yoo1,2, Hyeryun Park1,2, Somin Song3
1Interdisciplinary Program for Bioengineering, Graduate School, Seoul National University.
Studies in health technology and informatics
|August 8, 2025
概括
人工智能医生助理 (DA) 通过起草临床笔记来帮助减少医疗文档负担. 一个通用的AI模型显示了任务中的各种性能,突出了AI医疗保健解决方案中需要任务特定的优化.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 医疗实践中日益增加的文档工作量需要人工智能驱动的解决方案.
- 临床记录,特别是门诊进展记录,代表了相当大的文档负担.
研究的目的:
- 引入一个人工智能医生助理 (DA),用于生成门诊进展笔记的草稿.
- 评估一般AI模型的性能与不同任务中的个人微调模型的性能.
主要方法:
- 人工智能 DA 在四个医学专业的数据集上接受了培训.
- 在所有教授的数据上训练了一个通用模型,并与个别微调的模型进行比较.
- 对两个关键任务的性能进行了评估:生成操作摘要和临床发现部分.
主要成果:
- 一般人工智能模型的性能因具体任务而异.
- 针对每个教授微调的单个模型显示了取决于任务的性能.
- 该研究比较了一般AI模型与专门AI模型在临床笔记生成方面的有效性.
结论:
- 人工智能医生助理在减少临床文档负担方面显示出潜力.
- 人工智能模型的概括能力在不同的临床任务和专业方面有所不同.
- 研究结果表明,需要仔细考虑在医疗保健中使用人工智能的模型培训策略.
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