Artificial intelligence system for training diagnosis and differentiation with molar incisor hypomineralization (MIH) and similar pathologies.

Journal: Clinical oral investigations
PMID: 36065023

Abstract

OBJECTIVES: Molar incisor hypomineralization (MIH) is a difficult-to-diagnose developmental disorder of the teeth, mainly in children and adolescents. Due to the young age of the patients, problems typically occur with the diagnosis of MIH. The aim of the present technical note was to investigate whether a successful application of a neural network for diagnosis of MIH and other different pathologies in dentistry is still feasible.

Authors

  • Vasilios Alevizakos
    Research Center for Digital Technologies in Dentistry and CAD/CAM, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Steiner Landstraße 124, 3500, Krems, Austria. v@alevizacos.de.
  • Katrin Bekes
    Department of Paediatric Dentistry, Medical University of Vienna - University Clinic of Dentistry, Sensengasse 2a, 1090, Vienna, Austria.
  • Richard Steffen
    Dr. med. dent. Steffen Claire und Richard, Rathausstrasse 39, 8570, Weinfelden, Switzerland.
  • Constantin von See
    Research Center for Digital Technologies in Dentistry and CAD/CAM, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University, Steiner Landstraße 124, 3500, Krems, Austria.

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