Artificial intelligence applications in implant dentistry: A systematic review.

Journal: The Journal of prosthetic dentistry
Published Date:

Abstract

STATEMENT OF PROBLEM: Artificial intelligence (AI) applications are growing in dental implant procedures. The current expansion and performance of AI models in implant dentistry applications have not yet been systematically documented and analyzed.

Authors

  • 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.
  • Miguel Gómez-Polo
    Associate Professor Department of Conservative Dentistry and Prosthodontics, School of Dentistry, Complutense University of Madrid, Madrid, Spain. Electronic address: mgomezpo@ucm.es.
  • Shantanu Vyas
    Graduate Research Assistant, J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, Texas.
  • Basir A Barmak
    Assistant Professor Clinical Research and Biostatistics, Eastman Institute of Oral Health, University of Rochester Medical Center, Rochester, NY.
  • German O Galluci
    Raymond J. and Elva Pomfret Nagle Associate Professor of Restorative Dentistry and Biomaterials Sciences and Chair of the Department of Restorative Dentistry and Biomaterials Science, Harvard School of Dental Medicine, Boston, Mass.
  • Wael Att
  • Vinayak R Krishnamurthy
    Assistant Professor, J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, Texas.