自然语言处理和大型语言模型
Gordon C Wong1, Kevin C Chung1
1Section of Plastic Surgery, Department of Surgery, Michigan Medicine, The University of Michigan Health System, 1500 East Medical Center Drive, 2130 Taubman Center, SPC 5340, Ann Arbor, MI 48109-5340, USA.
Hand clinics
|November 8, 2025
概括
自然语言处理 (NLP) 和大型语言模型 (LLM) 可以通过提高效率和患者护理来改变手术. 应对当前的挑战将在该领域取得重大进展.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 手术创新 在外科创新.
背景情况:
- 自然语言处理系统 (NLP) 和大型语言模型 (LLM) 为推进手术提供了巨大的潜力.
- 这些人工智能技术可以简化临床工作流程,改善患者护理,并增强专业内的研究能力.
研究的目的:
- 探索NLP和LLM在手术中的潜在应用.
- 确定与在临床实践和研究中实施这些技术相关的好处和挑战.
主要方法:
- 关于NLP和LLM在医疗保健中的应用的当前文献的审查.
- 分析NLP在处理非结构化临床数据方面的特定能力.
- 评估LLM对患者教育,临床决策支持和行政任务自动化方面的贡献.
主要成果:
- 通过分析非结构化临床数据,NLP可以提高研究效率,质量提高和患者安全.
- 通过LLM可以改善患者教育,提供实时临床决策支持,并通过自动化文档来减少行政负担.
- 在手术中充分实现这些技术的好处仍然存在关键挑战.
结论:
- 在手术领域,NLP和LLM具有变革性的潜力,影响工作流程,患者护理和研究.
- 克服实施挑战对于利用这些AI进步至关重要.
- 成功的整合有望在手术和整体医疗保健方面取得重大进展.
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