Feasibility of using two generative AI models for teeth reconstruction.

Journal: Journal of dentistry
PMID:

Abstract

OBJECTIVES: This feasibility study investigates the application of artificial intelligence (AI) models, specifically transformer-based (TM) and diffusion-based (DM) models, for the reconstruction of single and multiple missing teeth.

Authors

  • O Saleh
    Department of Prosthetic Dentistry, Faculty of Medicine, Medical Center -University of Freiburg, Center for Dental Medicine, University of Freiburg, Freiburg, Germany; Prosthodontics Division, Department of Restorative Sciences & Biomaterials, Boston University Henry M. Goldman School of Dental Medicine, Boston, MA, USA. Electronic address: omnia99.ismail@gmail.com.
  • B C Spies
    Department of Prosthetic Dentistry, Faculty of Medicine, Medical Center -University of Freiburg, Center for Dental Medicine, University of Freiburg, Freiburg, Germany.
  • L S Brandenburg
    Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Medical Center -University of Freiburg, Center for Dental Medicine, University of Freiburg, Freiburg, Germany.
  • M C Metzger
    Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Medical Center -University of Freiburg, Center for Dental Medicine, University of Freiburg, Freiburg, Germany.
  • J Lüchtenborg
    Department of Prosthetic Dentistry, Faculty of Medicine, Medical Center -University of Freiburg, Center for Dental Medicine, University of Freiburg, Freiburg, Germany.
  • M B Blatz
    Department of Preventive and Restorative Sciences, Penn Dental Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • F Burkhardt
    Department of Prosthetic Dentistry, Faculty of Medicine, Medical Center -University of Freiburg, Center for Dental Medicine, University of Freiburg, Freiburg, Germany.