Artificial Intelligence-Aided Diagnosis Software to Identify Highly Suspicious Pulmonary Nodules.

Journal: Frontiers in oncology
Published Date: Feb 15, 2022

Abstract

INTRODUCTION: To evaluate the value of artificial intelligence (AI)-assisted software in the diagnosis of lung nodules using a combination of low-dose computed tomography (LDCT) and high-resolution computed tomography (HRCT).

Authors

  • Jun Lv
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Jianhui Li
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Yanzhen Liu
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Hong Zhang
    Department of Anesthesiology and Operation, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
  • Xiangfeng Luo
    LinkDoc Technology, Beijing, China.
  • Min Ren
    Tianjin Cardiovascular Institute, Tianjin Chest Hospital, Tianjin, China.
  • Yufan Gao
    Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
  • Yanhe Ma
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Shuo Liang
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Yapeng Yang
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Zhenchun Song
    Medical Radiology Department, Tianjin Chest Hospital, Tianjin, China.
  • Guangming Gao
    LinkDoc Technology, Beijing, China.
  • Guozheng Gao
    Pathology Department, Tianjin Chest Hospital, Tianjin, China.
  • Yusheng Jiang
    LinkDoc Technology, Beijing, China.
  • Ximing Li
    Tianjin Cardiovascular Institute, Tianjin Chest Hospital, Tianjin, China.

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