Automatic cephalometric landmark identification with artificial intelligence: An umbrella review of systematic reviews.

Journal: Journal of dentistry

PMID: 38729291

Abstract

OBJECTIVES: The transition from manual to automatic cephalometric landmark identification has not yet reached a consensus for clinical application in orthodontic diagnosis. The present umbrella review aimed to assess artificial intelligence (AI) performance in automatic 2D and 3D cephalometric landmark identification.

Authors

Alessandro Polizzi

Department of General Surgery and Medical-Surgical Specialties, Section of Orthodontics, University of Catania, Policlinico Universitario "Gaspare Rodolico - San Marco", Via Santa Sofia 78, 95123, Catania, Italy. Electronic address: alessandro.polizzi@phd.unict.it.
Rosalia Leonardi

Department of Orthodontics, School of Dentistry, University of Catania, Catania, Italy. Electronic address: rleonard@unict.it.

Keywords

Anatomic Landmarks Artificial Intelligence Cephalometry Humans Imaging, Three-Dimensional Machine Learning Systematic Reviews as Topic

External Resources

View on PubMed Access via DOI PubMed (38729291)

Automatic cephalometric landmark identification with artificial intelligence: An umbrella review of systematic reviews.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals