Automated diagnosis and classification of temporomandibular joint degenerative disease via artificial intelligence using CBCT imaging.

Journal: Journal of dentistry
PMID:

Abstract

OBJECTIVES: In this study, artificial intelligence (AI) techniques were used to achieve automated diagnosis and classification of temporomandibular joint (TMJ) degenerative joint disease (DJD) on cone beam computed tomography (CBCT) images.

Authors

  • Wei-Yu Mao
    Center for TMD and Orofacial Pain, Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology, No. 22 Zhong Guan Cun South Ave, Beijing, 100081, People's Republic of China.
  • Yuan-Yuan Fang
    Department of Oral & Maxillofacial Radiology, Peking University School & Hospital of Stomatology, Beijing 100081, PR China; National Center for Stomatology & National Clinical Research Center for Oral Diseases, Beijing 100081, PR China; National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, PR China; Beijing Key Laboratory of Digital Stomatology, Beijing 100081, PR China.
  • Zhong-Zhen Wang
    LargeV Instrument Corp. Ltd., Beijing 100084, PR China.
  • Mu-Qing Liu
    Center for TMD and Orofacial Pain, Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology, No. 22 Zhong Guan Cun South Ave, Beijing, 100081, People's Republic of China.
  • Yu Sun
    Department of Neurology, China-Japan Friendship Hospital, Beijing, China.
  • Hong-Xin Wu
    LargeV Instrument Corp. Ltd., Beijing 100084, PR China; Tsinghua University, Beijing 100084, PR China.
  • Jie Lei
    State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China. Electronic address: jielei@mail.xidian.edu.cn.
  • Kai-Yuan Fu
    Center for TMD and Orofacial Pain, Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology, No. 22 Zhong Guan Cun South Ave, Beijing, 100081, People's Republic of China. kqkyfu@bjmu.edu.cn.