Machine learning in orthodontics: Introducing a 3D auto-segmentation and auto-landmark finder of CBCT images to assess maxillary constriction in unilateral impacted canine patients.

CONCLUSIONS: The data suggest that palatal expansion could be beneficial for those with unilateral canine impaction, as underdevelopment of the maxilla often accompanies that condition in the early teen years. Fast and efficient CBCT image segmentation will allow large clinical data sets to be analyzed effectively. PMID: 31403836 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/31403836?dopt=Abstract

Source: The Angle Orthodontist - August 11, 2019 Category: Dentistry Authors: Chen S, Wang L, Li G, Wu TH, Diachina S, Tejera B, Kwon JJ, Lin FC, Lee YT, Xu T, Shen D, Ko CC Tags: Angle Orthod Source Type: research