自然语言处理在全关节关节整形手术中的应用:机遇和挑战
Fred Nugen1, Diana V Vera Garcia1, Sunghwan Sohn2
1Orthopedic Surgery Artificial Intelligence Laboratory (OSAIL), Mayo Clinic, Rochester, Minnesota; Radiology Informatics Lab (RIL), Department of Radiology, Mayo Clinic, Rochester, Minnesota.
The Journal of arthroplasty
|August 24, 2023
概括
自然语言处理 (NLP) 提供了一个从电子健康记录中提取有价值的患者数据的解决方案,改善了关节整形术的研究和患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 自然语言处理自然语言处理.
背景情况:
- 整体关节整形手术是美国普遍存在的一种手术.
- 大量患者数据存在于电子健康记录中.
- 手动提取数据是耗时且资源密集的.
研究的目的:
- 探索自然语言处理 (NLP) 作为手动数据提取的替代方案.
- 展示NLP在分析手术数据中的应用.
- 讨论NLP在改善患者治疗结果方面的潜力.
主要方法:
- 概述常见的NLP管道子任务:数据准备,建模,分析和验证.
- 介绍了在医疗保健中的NLP项目示例.
- 讨论NLP的挑战和局限性.
主要成果:
- NLP可以自动地从非结构化的临床文本中提取有组织的数据.
- NLP有助于对大型数据集进行高效的分析,用于研究和临床应用.
- NLP有望提高患者护理和手术结果.
结论:
- NLP提供了一种可行和有效的方法,用于利用电子健康记录数据.
- 未来的NLP发展,包括大型语言模型,将进一步推进医疗保健中的数据分析.
- NLP应用可以显著提高整体关节关节整形研究的效率和有效性.
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