Accuracy of artificial intelligence-assisted growth prediction in skeletal Class I preadolescent patients using serial lateral cephalograms for a 2-year growth interval.

Abstract

Authors

• A Larkin
  Postgraduate Orthodontic Program, Arizona School of Dentistry & Oral Health, A.T. Still University, Mesa, Arizona, USA.
• J-S Kim
  Division of Colon and Rectal Surgery, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryodae-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea.
• N Kim
  From the Departments of Convergence Medicine (J.Y., N.K.).
• S-H Baek
  Department of Orthodontics, School of Dentistry, Dental Research Institute, Seoul National University, Seoul, Republic of Korea.
• S Yamada
  Department of Dental Informatics, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
• K Park
  Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea.
• K Tai
  Postgraduate Orthodontic Program, Arizona School of Dentistry & Oral Health, A.T. Still University, Mesa, Arizona, USA.
• Y Yanagi
  Department of Dental Informatics, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
• J H Park
  Jeonbuk National University Medical School - Department of Internal Medicine, Jeonju, Republic of Korea.

Keywords

External Resources