Detection of dental restorations using no-code artificial intelligence.

Journal: Journal of dentistry
Published Date: Oct 28, 2023

Abstract

OBJECTIVES: The purpose of this study was to utilize a no-code computer vision platform to develop, train, and evaluate a model specifically designed for segmenting dental restorations on panoramic radiographs.

Authors

  • Manal Hamdan
    Department of General Dental Sciences, Marquette University School of Dentistry, Milwaukee, WI 53233, USA. Electronic address: manalhamdan5@hotmail.com.
  • Zaid Badr
    Technological Innovation Center, Department of General Dental Sciences, Marquette University School of Dentistry, Milwaukee, WI 53233, USA.
  • Jennifer Bjork
    Department of General Dental Sciences, Marquette University School of Dentistry, Milwaukee, WI 53233, USA.
  • Reagan Saxe
    Department of General Dental Sciences, Marquette University School of Dentistry, Milwaukee, WI 53233, USA.
  • Francesca Malensek
    Marquette University School of Dentistry, Milwaukee, WI 53233, USA.
  • Caroline Miller
    Marquette University School of Dentistry, Milwaukee, WI 53233, USA.
  • Rakhi Shah
    Marquette University School of Dentistry, Milwaukee, WI 53233, USA.
  • Shengtong Han
    Deans Office, Marquette University School of Dentistry, Milwaukee, WI 53233, USA.
  • Hossein Mohammad-Rahimi
    Division of Artificial Intelligence Imaging Research, University of Maryland School of Dentistry, Baltimore, MD 21201, USA.

Keywords

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