Artificial intelligence model system for bone age assessment of preschool children.

Journal: Pediatric research
PMID: 38802611

Abstract

BACKGROUD: Our study aimed to assess the impact of inter- and intra-observer variations when utilizing an artificial intelligence (AI) system for bone age assessment (BAA) of preschool children.

Authors

  • Chengcheng Gao
    Department of Health Statistics, College of Preventive Medicine, Army Medical University, NO.30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
  • Chunfeng Hu
    Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Qi Qian
    Key Laboratory of Acupuncture and Medicine Research of Ministry of Education, Nanjing University of Chinese Medicine, Nanjing 210023, Jiangsu Province, China.
  • Yangsheng Li
    Department of Radiology, Hangzhou First People's Hospital, Hangzhou, China.
  • Xiaowei Xing
    School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea.
  • Ping Gong
    Deepwise AI Lab, Beijing Deepwise & League of PHD Technology Co., Ltd., Beijing, China.
  • Min Lin
  • Zhongxiang Ding

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