生物医学和健康信息学中的大型语言模型:用图书识别分析进行审查
Huizi Yu1, Lizhou Fan1, Lingyao Li1
1University of Michigan, Ann Arbor, MI USA.
Journal of healthcare informatics research
|October 28, 2024
概括
大型语言模型 (LLM) 正在彻底改变生物医学和健康信息学 (BHI),增强诊断,患者护理和研究. 伦理考虑和验证对于它们的有效临床实施至关重要.
科学领域:
- 生物医学和健康信息学 (BHI)
- 医疗保健中的人工智能
背景情况:
- 大型语言模型 (LLM) 是越来越重要的工具在BHI.
- 法律学为数据分析,患者治疗和研究提供了新的方法.
- 法律学的快速整合需要对其应用和挑战有全面的了解.
研究的目的:
- 为了提供一个全面的概述在BHI.LLM应用程序.
- 突出LLMs在医疗保健中的变革潜力.
- 解决与在BHI实施LLM相关的伦理和实际挑战.
主要方法:
- 对1698篇研究文章的系统审查 (2022年1月 - 2023年12月).
- 根据研究主题和诊断类别对文章进行分类.
- 网络分析用于绘制学术合作和研究动态的地图.
主要成果:
- 在临床决策支持,患者互动和医疗文件分析等BHI任务中LLM应用的显著增加.
- 在改善诊断准确性和患者护理协议方面,LLM显示出潜力.
- 网络分析揭示了LLM研究中的动态,跨学科的合作.
- 在心理健康和神经系统疾病中发现的关键应用,影响了个性化医学和公共卫生.
结论:
- 法律学具有改变生物医学研究和医疗保健提供的巨大潜力.
- 严格审查伦理影响和模型验证对于临床优化至关重要.
- 这项调查是医疗保健利益相关者对LLM在BHI的当前状态和未来的关键资源.
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