Accuracy of artificial intelligence for tooth extraction decision-making in orthodontics: a systematic review and meta-analysis.

Journal: Clinical oral investigations
Published Date:

Abstract

OBJECTIVE: This study aimed to analyze the accuracy of artificial intelligence (AI) for orthodontic tooth extraction decision-making.

Authors

  • Karine Evangelista
  • Brunno Santos de Freitas Silva
    Department of Stomatology, School of Dentistry, Federal University of Goiás, Avenida Universitária esquina com 1a Avenida, Goiânia, S/N. Zip Code: 74605-220, Brazil.
  • Fernanda Paula Yamamoto-Silva
    Department of Stomatology, School of Dentistry, Federal University of Goiás, Avenida Universitária esquina com 1a Avenida, Goiânia, S/N. Zip Code: 74605-220, Brazil.
  • Jose Valladares-Neto
  • Maria Alves Garcia Silva
    School of Dentistry, Federal University of Goiás, Goiânia, GO, Brazil.
  • Lucia Helena Soares Cevidanes
    University of Michigan, Department of Orthodontics and Pediatric Dentistry, School of Dentistry, Ann Arbor, MI, 48109, USA.
  • Graziela de Luca Canto
    Department of Dentistry, Brazilian Centre for Evidence-Based Research, Health Sciences Center, Federal University of Santa Catarina, Rua Delfino Conti, 1240-Trindade, Florianópolis, Zip Code: 88040-535, Brazil.
  • Carla Massignan
    Department of Dentistry, University of Brasilia, UnB Estac. Medicina UnB-Asa Norte, Brasilia, Zip Code: 70297-400, Brazil.