Artificial intelligence in medico-dental diagnostics of the face: a narrative review of opportunities and challenges.

Journal: Clinical oral investigations
Published Date:

Abstract

OBJECTIVES: This review aims to share the current developments of artificial intelligence (AI) solutions in the field of medico-dental diagnostics of the face. The primary focus of this review is to present the applicability of artificial neural networks (ANN) to interpret medical images, together with the associated opportunities, obstacles, and ethico-legal concerns.

Authors

  • Raphael Patcas
    Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Switzerland.
  • Michael M Bornstein
    Department of Oral Health & Medicine, University Center for Dental Medicine Basel UZB, University of Basel, Basel, Switzerland.
  • Marc A Schätzle
    Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Switzerland.
  • Radu Timofte
    Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland.