Prediction of hand-wrist maturation stages based on cervical vertebrae images using artificial intelligence.

Journal: Orthodontics & craniofacial research
PMID: 34405944

Abstract

OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, and to analyse the accuracy of the proposed algorithms.

Authors

  • Dong-Wook Kim
    Department of Big Data, National Health Insurance Service, Wonju, Korea.
  • Jinhee Kim
    Lab of Cell Differentiation Research, College of Korean Medicine, Gachon University, Seongnam, Republic of Korea.
  • Taesung Kim
    Graduate School of Artificial Intelligence, KAIST, Daehak-ro 291, Yuseong-gu, Daejeon, 34141, Korea.
  • Taewoo Kim
    Graduate School of Artificial Intelligence, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  • Yoon-Ji Kim
    Department of Biomedical Engineering, College of Health Science, Yonsei University, Wonju, Kangwon-do, 26493, South Korea.
  • In-Seok Song
    Department of Oral and Maxillofacial Surgery, Korea University Anam Hospital, Seoul, South Korea. densis@korea.ac.kr.
  • Byungduk Ahn
    Private practice, Seoul, Korea.
  • Jaegul Choo
  • Dong-Yul Lee
    Department of Orthodontics, Korea University Guro Hospital, Seoul, Korea.

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