Artificial intelligence-driven computer aided diagnosis system provides similar diagnosis value compared with doctors' evaluation in lung cancer screening.

Journal: BMC medical imaging
Published Date: Jun 11, 2024

Abstract

OBJECTIVE: To evaluate the consistency between doctors and artificial intelligence (AI) software in analysing and diagnosing pulmonary nodules, and assess whether the characteristics of pulmonary nodules derived from the two methods are consistent for the interpretation of carcinomatous nodules.

Authors

  • Shan Gao
    Department of Mathematics and Statistics, Yunnan University, China.
  • Zexuan Xu
    Beijing Chest Hospital, Capital Medical University, Beijing, China.
  • Wanli Kang
    Beijing Chest Hospital, Capital Medical University, Beijing, China.
  • Xinna Lv
    Department of Radiology, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
  • Naihui Chu
    Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China. dongchu1994@sina.com.
  • Shaofa Xu
    Beijing Chest Hospital, Capital Medical University, Beijing, China. xushaofa@263.net.
  • Dailun Hou
    Department of Radiology, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China. hou.dl@mail.ccmu.edu.cn.

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