Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists.

Journal: JAMA network open
Published Date: Feb 1, 2023

Abstract

IMPORTANCE: Artificial intelligence (AI) can interpret abnormal signs in chest radiography (CXR) and generate captions, but a prospective study is needed to examine its practical value.

Authors

  • Yaping Zhang
    Radiology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, Shanghai, 200080 China.
  • Mingqian Liu
    Winning Health Technology Ltd., Shouyang Rd., Lane 99, No. 9, Shanghai, 200072 China.
  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.
  • Lingyun Wang
    Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China. wangly@xmu.edu.cn.
  • Keke Zhao
    Department of Radiology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shundong Hu
    Radiology Department, Shanghai Sixth People Hospital, Shanghai Jiao Tong University School of Medicine, Yishan Rd. 600, Shanghai, 200233 China.
  • Xu Chen
    School of Pharmaceutical Sciences, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
  • Xueqian Xie
    Radiology Department, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Haining Rd.100, Shanghai, 200080 China.

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