基于人工智能技术的新冠肺炎辅助诊断研究
DOI:
作者:
作者单位:

河南科技大学第一附属医院 ( 洛阳 , 471000)

作者简介:

通讯作者:

中图分类号:

基金项目:


Research Progress of Auxiliary Diagnosis of New Coronavirus Pneumonia Based on Artificial Intelligence Technology
Author:
Affiliation:

The First Affiliated Hospital of Henan University of Science and Technology (Luoyang, 471000)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    新冠肺炎的精准化诊断已经成为全球公共卫生领域关注的热点问题之一。人工智能技术在新冠肺炎的辅助诊断中 起到了重要的作用。该文首先对人工智能进行系统介绍,并重点阐述人工智能的发展历程。其次,对基于机器人和机器视觉的新 冠肺炎辅助诊断方法进行系统化和层次化报道,并选取经典的人工智能技术对辅助诊断效果进行对比分析。此外,介绍基于专家 系统的辅助诊断方法。最后,展望人工智能技术在临床医学辅助诊断中的发展方向和趋势。

    Abstract:

    Accurate diagnosis of novel coronavirus pneumonia has become one of the hot issues in the field of global public health. Artificial intelligence technology has played an important role in the auxiliary diagnosis of new coronary pneumonia. This paper firstly introduces artificial intelligence systematically and focuses on the development process of artificial intelligence. Secondly, the auxiliary diagnosis methods of COVID-19 based on robots and machine vision are systematically and hierarchically reported, and the classic artificial intelligence technologies are selected to compare and analyze the auxiliary diagnosis effect. In addition, this paper further introduces the auxiliary diagnosis method based on expert system. Finally, the development direction and trend of artificial intelligence technology in clinical auxiliary diagnosis are prospected.

    参考文献
    相似文献
    引证文献
引用本文

孙怡瑶,李杰,白茜茜.基于人工智能技术的新冠肺炎辅助诊断研究[J].生物医学工程学进展,2022,(1):21-

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2022-09-07
  • 出版日期:
二维码