[Application of artificial intelligence in combination with CT radiomics in chronic obstructive pulmonary disease].

Journal: Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
PMID: 39914847

Abstract

As CT imaging is increasingly used for the evaluation of lung nodules and the diagnosis and screening of lung cancer in smokers, we have more opportunities to use CT images to identify patients with early-stage chronic obstructive pulmonary disease(COPD). Furthermore, with the continuous advancement of artificial intelligence, it can not only assist clinicians in the early diagnosis and treatment of COPD patients through the analysis of lung CT scans but also help guide treatment strategies. This article primarily reviewed the application of artificial intelligence combined with CT radiomics in the diagnosis and treatment of chronic obstructive pulmonary disease.

Authors

  • R Y Wang
    Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100043, China.
  • W Sun
  • Z J Luo
    Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100043, China.
  • J Wang
    Joint Laboratory of Modern Agricultural Technology International Cooperation; Key Laboratory of Animal Production, Product Quality, and Security; College of Animal Science and Technology, Jilin Agricultural University, Changchun, China. moa4short@outlook.com.

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