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医疗保健和医疗应用中的大型语言模型:一篇综述

Subhankar Maity^1,2, Manob Jyoti Saikia^1,2

¹Biomedical Sensors & Systems Lab, University of Memphis, Memphis, TN 38152, USA.

Bioengineering (Basel, Switzerland)

|June 26, 2025

概括

大型语言模型 (LLM) 显示了通过先进的NLP改变医疗保健的巨大前景. 解决隐私,道德和准确性方面的挑战对于将其负责任地纳入医疗实践至关重要.

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
自然语言处理自然语言处理.

背景情况:

大型语言模型 (LLM) 提供先进的自然语言处理 (NLP) 功能,具有革命医疗保健的巨大潜力.
目前的LLM应用涵盖临床决策支持,医学教育,诊断和患者护理.

研究的目的:

系统地检查LLM在医疗保健领域的潜力和挑战.
提供对LLM背景,进化,架构和医学多式联络能力的全面了解.

主要方法:

探索特定领域的数据采集,大规模预培训和监督微调.
对医疗保健用例的快速工程和上下文学习的分析.
主要应用领域的分类和方法方面的检查.

主要成果:

法律学士学位在各种医疗领域展示了有前途的应用,增强了决策支持,教育,诊断和患者护理方面的能力.
确定了医学LLM的关键趋势和突出的应用领域.
突出了关键挑战,包括隐私,道德部署,事实准确性,模型偏见,可解释性和监管合规性.

结论:

负责任地将LLM纳入医疗保健需要解决重大技术和社会挑战.
未来的研究应该专注于新兴方向和战略建议,以道德和有效地开发和部署医疗保健LLM.

关键词:

在法律上,LLMs.医疗保健医疗保健医疗保健医疗保健大型语言模型.医疗医学医疗医疗病人的病人的病人的病.审查审查审查审查审查审查

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