AI-based open-source software for cephalometric analysis from limited FOV radiographs.

Journal: Journal of dentistry
PMID: 39433150

Abstract

BACKGROUND: Artificial Intelligence (AI) in dental diagnostics is evolving, offering innovative approaches for conducting cephalometric analysis with less manual input and overcoming the limitations of traditional imaging methods. To enhance the diagnostic processes in dentistry, an open-source software that utilises AI to improve the extraction of cephalometric values from limited field of view (FOV) images was created.

Authors

  • Piero Antonio Zecca
    DIMIT, Department of Medicine and Technological Innovation, University of Insubria, Varese, Italy.
  • Margherita Caccia
    DIMIT, Department of Medicine and Technological Innovation, University of Insubria, Varese, Italy. Electronic address: mcaccia3@studenti.uninsubria.it.
  • Luca Levrini
    School of Dentistry, Postgraduate of Orthodontics, Department of Human Sciences, Innovation and Territory, University of Insubria, Varese, Italy.
  • Andrea Carganico
    DBSV, Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy.
  • Marcella Reguzzoni
    DIMIT, Department of Medicine and Technological Innovation, University of Insubria, Varese, Italy.
  • Davide Donadio
    Department of Chemistry, University of California Davis 95616, California, United States.
  • Davide Tosi
    Department of Theoretical and Applied Sciences, University of Insubria, Varese, Lombardia, Italy.
  • Marina Protasoni
    DIMIT, Department of Medicine and Technological Innovation, University of Insubria, Varese, Italy.

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