中国校医2024,Vol.38Issue(3) :230-233.DOI:10.20161/j.cnki.32-1199/R.202403065

人工智能助力高校学生肺结核筛查

Tuberculosis screening among college students assisted by artificial intel-ligence

许琴红 朱鹏云 龚明英
中国校医2024,Vol.38Issue(3) :230-233.DOI:10.20161/j.cnki.32-1199/R.202403065

人工智能助力高校学生肺结核筛查

Tuberculosis screening among college students assisted by artificial intel-ligence

许琴红 1朱鹏云 1龚明英2
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作者信息

  • 1. 南昌医学院,江西南昌 330052
  • 2. 江西中科九峰智慧医疗科技有限公司,江西南昌 330000
  • 折叠

摘要

高校学生肺结核筛查是国家及各省市教育部门关注的重点,影像学检查是肺结核确诊的重要依据,但肺结核影像图像的鉴别诊断一直是研究的重点与难点.目前人工智能(AI)辅助诊断技术在辅助影像诊断方面取得较大的进展,通过使用AI辅助影像诊断技术能够明显提高诊断效率.笔者就目前高校肺结核筛查相关政策及现状、AI辅助诊断技术及其在肺结核筛查中的应用、不足与展望进行综述.

Abstract

Our country pays substantial attention to tuberculosis screening among college students.Imaging exami-nation is an important basis for the diagnosis of pulmonary tuberculosis,but the differential diagnosis of pulmonary tuberculo-sis imaging has always been a focus and difficulty of research.Artificial intelligence(AI)assisted diagnosis technology has made great progress in auxiliary imaging diagnosis.AI-assisted imaging diagnosis technology can significantly improve diag-nostic efficiency and accuracy.This article reviews the current policies and status of pulmonary tuberculosis screening in col-leges,as well as AI-assisted diagnosis technology and its applications,shortcomings and prospects.

关键词

学生保健服务/肺结核/筛查/人工智能/辅助诊断技术

Key words

Student health services/Pulmonary tuberculosis/Screening/Artificial intelligence/Assisted diagnosis technology

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基金项目

江西省高等学校教改课题项目(JXJG-22-80-3)

出版年

2024
中国校医
江苏省预防医学会 中华预防医学会

中国校医

影响因子:0.378
ISSN:1001-7062
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