Evaluation of accuracy of deep learning and conventional neural network algorithms in detection of dental implant type using intraoral radiographic images: A systematic review and meta-analysis.

Journal: The Journal of prosthetic dentistry
PMID:

Abstract

STATEMENT OF PROBLEM: With the growing importance of implant brand detection in clinical practice, the accuracy of machine learning algorithms in implant brand detection has become a subject of research interest. Recent studies have shown promising results for the use of machine learning in implant brand detection. However, despite these promising findings, a comprehensive evaluation of the accuracy of machine learning in implant brand detection is needed.

Authors

  • Mahmood Dashti
    Researcher, School of Dentistry, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Electronic address: Dashti.mahmood72@gmail.com.
  • Jimmy Londono
    Professor and Director of the Prosthodontics Residency Program and the Ronald Goldstein Center for Esthetics and Implant Dentistry, The Dental College of Georgia at Augusta University, Augusta, Ga.
  • Shohreh Ghasemi
    Adjunct Assistant Professor, Department of Oral and Maxillofacial Surgery, The Dental College of Georgia at Augusta University, Augusta, Ga.
  • Shivasadat Tabatabaei
    Graduate student, School of Public Health, Boston University, Boston, MA, USA.
  • Sara Hashemi
    Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
  • Kimia Baghaei
    Researcher, Dental Students' Research Committee, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
  • Paulo J Palma
    Researcher, Center for Innovation and Research in Oral Sciences (CIROS), Faculty of Medicine, University of Coimbra, Coimbra, Portugal; and Professor, Institute of Endodontics, Faculty of Medicine, University of Coimbra, Coimbra, Portugal. Electronic address: ppalma@uc.pt.
  • Zohaib Khurshid
    Lecturer, Prosthodontics, Department of Prosthodontics and Dental Implantology, King Faisal University, Al-Ahsa, Saudi Arabia; and Professor, Center of Excellence for Regenerative Dentistry, Department of Anatomy, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.