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AI在结核病影像诊疗中的研究进展与未来展望

侯文婧 林明贵

中国医学前沿杂志(电子版)2026,Vol.18Issue(1):41-45,5.
中国医学前沿杂志(电子版)2026,Vol.18Issue(1):41-45,5.DOI:10.12037/YXQY.2026.01-06

AI在结核病影像诊疗中的研究进展与未来展望

Research progress and future prospects of artificial intelligence in the imaging diagnosis and treatment of tuberculosis

侯文婧 1林明贵1

作者信息

  • 1. 清华大学北京清华长庚医院感染疾病中心,北京 102218
  • 折叠

摘要

Abstract

Tuberculosis is a major global public health challenge.With the rapid development and widespread application of artificial intelligence(AI)technology,AI has been commonly used in the medical field.For example,AI can be used in X-ray,CT,and MRI,for early screening,rapid diagnosis,and accurate diagnosis of clinical tuberculosis.Additionally,AI can be employed for predicting Mycobacterium tuberculosis drug resistance and supporting epidemiological prevention and control.This article systematically reviews the extensive application of AI technology in the imaging diagnosis of tuberculosis and outlines future development prospects.

关键词

结核病/人工智能/影像

Key words

Tuberculosis/Artificial intelligence/Imaging

引用本文复制引用

侯文婧,林明贵..AI在结核病影像诊疗中的研究进展与未来展望[J].中国医学前沿杂志(电子版),2026,18(1):41-45,5.

基金项目

北京市重大疫情防治重点专科项目(XKB2022B1001) Special Program of Major Epidemic Prevention and Control in Beijing(XKB2022B1001) (XKB2022B1001)

中国医学前沿杂志(电子版)

1674-7372

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