The Value of Artificial Intelligence Film Reading System Based on Deep Learning in the Diagnosis of Non-Small-Cell Lung Cancer and the Significance of Efficacy Monitoring: A Retrospective, Clinical, Nonrandomized, Controlled Study.

Journal: Computational and mathematical methods in medicine
Published Date:

Abstract

OBJECTIVE: To explore the value of artificial intelligence (AI) film reading system based on deep learning in the diagnosis of non-small-cell lung cancer (NSCLC) and the significance of curative effect monitoring.

Authors

  • Yunbing Chen
    Department of Computerized Tomography, Jincheng People's Hospital (Jincheng Hospital Affiliated to Changzhi Medical College), No. 456 Wenchang East Street, Jincheng, 048026 Shanxi, China.
  • Xin Tian
    Cancer Hospital Chinese Academy of Medical Sciences (Shenzhen Hospital), Shenzhen, 518000, China. Electronic address: 947952187@qq.com.
  • Kai Fan
    Department of Statistical Science, Duke University, Durham, NC, 27708, USA.
  • Yanni Zheng
    Department of Computerized Tomography, Jincheng People's Hospital (Jincheng Hospital Affiliated to Changzhi Medical College), No. 456 Wenchang East Street, Jincheng, 048026 Shanxi, China.
  • Nannan Tian
    Department of Computerized Tomography, Jincheng People's Hospital (Jincheng Hospital Affiliated to Changzhi Medical College), No. 456 Wenchang East Street, Jincheng, 048026 Shanxi, China.
  • Ka Fan
    Department of Computerized Tomography, Jincheng People's Hospital (Jincheng Hospital Affiliated to Changzhi Medical College), No. 456 Wenchang East Street, Jincheng, 048026 Shanxi, China.