The applications of CT with artificial intelligence in the prognostic model of idiopathic pulmonary fibrosis.

Journal: Therapeutic advances in respiratory disease
PMID: 39382448

Abstract

The review summarizes the applications of CT and AI algorithms for prognostic models in IPF and procedures of model construction. It reveals the current limitations and prospects of AI-aid models, and helps clinicians to recognize the AI algorithms and apply them to more clinical work.

Authors

  • Zeyu Chen
    Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA. zeyuchen@csu.edu.cn.
  • Zheng Lin
    Department of Dermatology, First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Zihan Lin
    College of Information System and Management, National University of Defense Technology, Changsha, Hunan, China.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Haoyun Zhang
    School of Biomedical Engineering, School of Shanghai Jiao Tong University, Shanghai, P.R. China.
  • Haiwen Li
    School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China.
  • Qing Chang
    Department of Ultrasound, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
  • Jianqi Sun
  • Feng Li
    Department of General Surgery, Shanghai Traditional Chinese Medicine (TCM)-INTEGRATED Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals