Toward artificial intelligence in dental prosthesis planning - a preliminary in-silico feasibility study.

Journal: BMC oral health
Published Date: Aug 31, 2025

Abstract

BACKGROUND: Dental prosthesis planning is a multi-faceted and nuanced process of conceiving individual treatment plans based on dental findings and in line with established treatment guidelines. The aim of this study was to assess whether an artificial neural network (ANN) provided with sufficient training data could approximate this process.

Authors

  • Michael Del Hougne
    Department of Prosthodontics, University of Würzburg, Pleicherwall 2, Würzburg, 97070, Germany. hougne_m@ukw.de.
  • Philipp Del Hougne
    Institut de Physique de Nice CNRS UMR 7010 Université Côte d'Azur Nice 06108 France.
  • Isabella Di Lorenzo
    Department of Prosthodontics, University of Würzburg, Pleicherwall 2, Würzburg, 97070, Germany.
  • Christian Höhne
    Department of Prosthodontics, University of Würzburg, Pleicherwall 2, Würzburg, 97070, Germany.
  • Johannes Schrenker
    Department of Prosthodontics, University of Würzburg, Pleicherwall 2, Würzburg, 97070, Germany.
  • Marc Schmitter
    Department of Prosthodontics, University of Würzburg, Pleicherwall 2, Würzburg, 97070, Germany.

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