Comparison Between Conventional and Artificial Intelligence-Assisted Setup for Digital Implant Planning: Accuracy, Time-Efficiency, and User Experience.

Journal: Clinical oral implants research
PMID: 39572789

Abstract

OBJECTIVES: To investigate the reliability and time efficiency of the conventional compared to the automatic artificial intelligence (AI) segmentation of the mandibular canal and registration of the CBCT with the model scan data, in relation to clinician's experience.

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.
  • Albrect Schnappauf
    Dental-Wings, Chemnitz, Germany.
  • 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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