Artificial intelligence-based graded training of pulmonary nodules for junior radiology residents and medical imaging students.

Journal: BMC medical education
Published Date: Jul 9, 2024

Abstract

BACKGROUND: To evaluate the efficiency of artificial intelligence (AI)-assisted diagnosis system in the pulmonary nodule detection and diagnosis training of junior radiology residents and medical imaging students.

Authors

  • Xiaohong Lyu
    Department of Radiology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
  • Liang Dong
    School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.
  • Zhongkai Fan
    Office of Educational Administration, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
  • Yu Sun
    Department of Neurology, China-Japan Friendship Hospital, Beijing, China.
  • Xianglin Zhang
    Ministry of Education Key Laboratory of Bioinformatics; Center for Synthetic and Systems Biology; Bioinformatics Division, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China.
  • Ning Liu
    School of Public Health, Hangzhou Normal University, Hangzhou, China.
  • Dongdong Wang
    Department of Radiology, Huashan Hospital Affiliated to Fudan University, 12 Wulumuqi Rd. Middle, Shanghai 200040, China.

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