Artificial intelligence for orthodontic diagnosis and treatment planning: A scoping review.

Journal: Journal of dentistry
PMID: 39505292

Abstract

OBJECTIVES: To provide an overview of artificial intelligence (AI) applications in orthodontic diagnosis and treatment planning, and to evaluate whether AI improves accuracy, reliability, and time efficiency compared to expert-based manual approaches, while highlighting its current limitations.

Authors

  • Rellyca Sola Gracea
    OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven, 3000 Leuven, Belgium.
  • Nicolas Winderickx
    Department of Oral Health Sciences, Faculty of Medicine, KU Leuven, 3000 Leuven, Belgium.
  • Michiel Vanheers
    Department of Oral Health Sciences, Faculty of Medicine, KU Leuven, 3000 Leuven, Belgium.
  • Julie Hendrickx
    Department of Oral Health Sciences, Faculty of Medicine, KU Leuven, 3000 Leuven, Belgium.
  • Flavia Preda
    OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, KU Leuven & Oral and Maxillofacial Surgery, University Hospitals Leuven, Kapucijnenvoer33, BE-3000 Leuven, Belgium. Electronic address: flaviacpreda@gmail.com.
  • Sohaib Shujaat
    OMFS IMPATH Research Group, Department of Imaging & Pathology, Faculty of Medicine, University of Leuven and Oral & Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium.
  • Maria Cadenas de Llano-Pérula
    Department of Oral Health Sciences, Faculty of Medicine, KU Leuven, Belgium; Department of Dentistry, University Hospital Leuven, Leuven, Belgium.
  • Reinhilde Jacobs
    OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven and Department of Oral & Maxillofacial Surgery, University Hospitals Leuven, KU Leuven, Kapucijnenvoer 7, 3000, Leuven, Belgium; Department of Dental Medicine, Karolinska Institutet, Stockholm, Sweden. Electronic address: reinhilde.jacobs@ki.se.

Keywords

External Resources

Popular Topics
Recent Journals