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DeepSeek赋能全科医学:潜在应用与展望

闫温馨 刘珏 梁万年

中国全科医学2025,Vol.28Issue(17):2065-2069,5.
中国全科医学2025,Vol.28Issue(17):2065-2069,5.DOI:10.12114/j.issn.1007-9572.2025.0023

DeepSeek赋能全科医学:潜在应用与展望

DeepSeek Empowers General Medicine:Potential Application and Prospect

闫温馨 1刘珏 2梁万年3

作者信息

  • 1. 100084 北京市,清华大学万科公共卫生与健康学院
  • 2. 100191 北京市,北京大学公共卫生学院
  • 3. 100084 北京市,清华大学万科公共卫生与健康学院||100084 北京市,清华大学健康中国研究院
  • 折叠

摘要

Abstract

In January 2025,DeepSeek launched its reasoning model DeepSeek-R1,characterized by open-source accessibility,cost-effectiveness,and strong reasoning capabilities,thus showing significant potential for applications within the medical domain.This paper examines the prospects for DeepSeek's implementation in general practice,demonstrating its potential to support clinical decision-making at primary care levels,facilitate comprehensive health education and management throughout the healthcare lifecycle,and bridge service gaps in remote,impoverished,and underserved regions.Additionally,DeepSeek-R1 enables to enhance research efficiency and promote innovative modes of medical education and training.However,its deployment also faces challenges concerning data governance,ethical standards,and technical specifications.Future exploration is recommended to facilitate the deep integration of large language models such as DeepSeek into multiple dimensions of general practitioners'activities-including clinical practice,scientific research,and medical education-thus maximizing the empowering role of artificial intelligence in general practice,developing an intelligent primary care ecosystem,and promoting high-quality development in general medicine.

关键词

人工智能/DeepSeek/全科医学/大语言模型

Key words

Artificial intelligence/DeepSeek/General medicine/Large language model

引用本文复制引用

闫温馨,刘珏,梁万年..DeepSeek赋能全科医学:潜在应用与展望[J].中国全科医学,2025,28(17):2065-2069,5.

基金项目

科技创新2030——"新一代人工智能"重大项目(2021ZD0114100) (2021ZD0114100)

清华大学文科建设"双高"计划项目-AI赋能基层医疗服务研究(2024TSG06402) (2024TSG06402)

国家自然科学基金资助项目(72474005) (72474005)

中国全科医学

OA北大核心

1007-9572

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