Facial attractiveness of cleft patients: a direct comparison between artificial-intelligence-based scoring and conventional rater groups.

Journal: European journal of orthodontics
Published Date: Aug 8, 2019

Abstract

OBJECTIVES: To evaluate facial attractiveness of treated cleft patients and controls by artificial intelligence (AI) and to compare these results with panel ratings performed by laypeople, orthodontists, and oral surgeons.

Authors

  • Raphael Patcas
    Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Switzerland.
  • Radu Timofte
    Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland.
  • Anna Volokitin
    Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland.
  • Eirikur Agustsson
    Computer Vision Laboratory, D-ITET, ETH Zurich, Switzerland.
  • Theodore Eliades
    Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Switzerland.
  • Martina Eichenberger
    Clinic of Orthodontics and Pediatric Dentistry, Center of Dental Medicine, University of Zurich, Switzerland.
  • Michael Marc Bornstein
    Oral and Maxillofacial Radiology, Applied Oral Sciences, Faculty of Dentistry, The University of Hong Kong, Prince Philip Dental Hospital, Hong Kong SAR, China.

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