Diagnostic report generation for macular diseases by natural language processing algorithms.

Journal: The British journal of ophthalmology
Published Date:

Abstract

AIMS: To investigate rule-based and deep learning (DL)-based methods for the automatically generating natural language diagnostic reports for macular diseases.

Authors

  • Xufeng Zhao
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
  • Chunshi Li
    Department of Ophthalmology, Dalian No.3 People's Hospital, Dalian, Liaoning, China.
  • Jingyuan Yang
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
  • Xingwang Gu
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
  • Bing Li
  • Yuelin Wang
    Department of Ophthalmology Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences Beijing People's Republic of China.
  • Bi-Lei Zhang
    Department of Ophthalmology, Hunan Provincial People's Hospital, Changsha, Hunan, China.
  • Xirong Li
    Key Lab of DEKE, Renmin University of China, Beijing, China.
  • Jianchun Zhao
    Vistel AI Lab, Visionary Intelligence Ltd, Beijing, China.
  • Jie Wang
  • Weihong Yu
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China yuweihongpumch@163.com.

Keywords

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