A novel AI model for detecting periapical lesion on CBCT: CBCT-SAM.

Journal: Journal of dentistry
PMID:

Abstract

OBJECTIVES: Periapical lesions are not always evident on radiographic scans. Sometimes, asymptomatic or initial periapical lesions on cone-beam computed tomography (CBCT) could be missed by inexperienced dentists, especially when the scan has a large field of view and is not for endodontic treatment purposes. Previously, numerous algorithms have been introduced to assist radiographic assessment and diagnosis in the field of endodontics. This study aims to investigate the efficacy of CBCT-SAM, a new artificial intelligence (AI) model, in identifying periapical lesions on CBCT.

Authors

  • Ka-Kei Chau
    Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, PR China.
  • Meilu Zhu
    College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, PR China. Electronic address: zhumeilu2016@email.szu.edu.cn.
  • Abeer AlHadidi
    Department of Oral and Maxillofacial Pathology, Radiology and Medicine, NYU College of Dentistry, New York, NY, United States.
  • Cheng Wang
    Department of Pathology, Dalhousie University, Halifax, NS, Canada.
  • Kuofeng Hung
    Oral and Maxillofacial Radiology, Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Hong Kong SAR, China.
  • Pierre Wohlgemuth
    Department of Endodontics, NYU College of Dentistry, New York, NY, USA.
  • Walter Yu Hang Lam
    Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, People's Republic of China.
  • Weicai Liu
    Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Tongji Research Institute of Stomatology, Department of Prosthodontics, Stomatological Hospital and Dental School, Tongji University, Shanghai, PR China.
  • Yixuan Yuan
    Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong.
  • Hui Chen
    Xiangyang Central HospitalAffiliated Hospital of Hubei University of Arts and Science Xiangyang 441000 China.