Performance of an artificial intelligence system for bone age assessment in Tibet.

Journal: The British journal of radiology
PMID: 33560889

Abstract

OBJECTIVE: To investigate whether bone age (BA) of children living in Tibet Highland could be accurately assessed using a fully automated artificial intelligence (AI) system.

Authors

  • Fengdan Wang
    Department of Radiology, Peking Union Medical College Hospital, Beijing, China.
  • Wangjiu Cidan
    Department of Radiology, Tibet Autonomous Region People's Hospital, Lhasa, China.
  • Xiao Gu
    Department of Endocrinology, Peking Union Medical College Hospital, Beijing, China.
  • Shi Chen
    Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, PUMCH, CAMS & PUMC, Beijing, China.
  • Wu Yin
    Department of Radiology, Tibet Autonomous Region People's Hospital, Lhasa, China.
  • Yongliang Liu
    Hangzhou YITU Healthcare Technology Co., Ltd, Hangzhou, China.
  • Lei Shi
  • Hui Pan
    Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, PUMCH, CAMS & PUMC, Beijing, China.
  • Zhengyu Jin
    Departments of Radiology, Peking Union Medical College Hospital, Beijing.

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