Accuracy of manual and artificial intelligence-based superimposition of cone-beam computed tomography with digital scan data, utilizing an implant planning software: A randomized clinical study.

Journal: Clinical oral implants research
Published Date: Jun 10, 2024

Abstract

OBJECTIVES: To investigate the accuracy of conventional and automatic artificial intelligence (AI)-based registration of cone-beam computed tomography (CBCT) with intraoral scans and to evaluate the impact of user's experience, restoration artifact, number of missing teeth, and free-ended edentulous area.

Authors

  • Panagiotis Ntovas
    Department of Prosthodontics, School of Dental Medicine, Tufts University School of Dental Medicine, Boston, Massachusetts, USA.
  • Laurent Marchand
    Department of Prosthodontics, School of Dental Medicine, Tufts University School of Dental Medicine, Boston, Massachusetts, USA.
  • Matthew Finkelman
    Department of Public Health and Community Service, Tufts University School of Dental Medicine, Boston, MA, USA.
  • Marta Revilla-León
    Affiliate Assistant Professor, Graduate Prosthodontics, Department of Restorative Dentistry, School of Dentistry, University of Washington, Seattle, Wash and Faculty and Director of Research and Digital Dentistry, Kois Center, Seattle, Wash; Adjunct Professor, Department of Prosthodontics, School of Dental Medicine, Tufts University, Boston, MA.
  • Wael Att

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