Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion using cephalogram in Korean individuals.

Journal: BMC oral health
PMID: 33736627

Abstract

BACKGROUND: Posteroanterior and lateral cephalogram have been widely used for evaluating the necessity of orthognathic surgery. The purpose of this study was to develop a deep learning network to automatically predict the need for orthodontic surgery using cephalogram.

Authors

  • WooSang Shin
    Safety System Research Group, Korea Institute of Industrial Technology (KITECH), Gyeongsan, Korea.
  • Han-Gyeol Yeom
    Department of Oral and Maxillofacial Radiology, Daejeon Dental Hospital, Wonkwang University College of Dentistry, Daejeon, Korea.
  • Ga Hyung Lee
    Department of Oral and Maxillofacial Surgery, Daejeon Dental Hospital, Wonkwang University College of Dentistry, Daejeon, Korea.
  • Jong Pil Yun
    Safety System Research Group, Korea Institute of Industrial Technology (KITECH), Gyeongsan, Korea.
  • Seung Hyun Jeong
    Safety System Research Group, Korea Institute of Industrial Technology (KITECH), Gyeongsan, Korea.
  • Jong Hyun Lee
    Safety System Research Group, Korea Institute of Industrial Technology (KITECH), Gyeongsan, Korea.
  • Hwi Kang Kim
    Department of Oral and Maxillofacial Surgery, Daejeon Dental Hospital, Wonkwang University College of Dentistry, Daejeon, Korea.
  • Bong Chul Kim
    Department of Oral and Maxillofacial Surgery, Daejeon Dental Hospital, Wonkwang University College of Dentistry, Daejeon, Korea. bck@wku.ac.kr.

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