Cervical Vertebral Maturation Assessment using various Machine Learning techniques on Lateral cephalogram: A systematic literature review

ABSTRACT:

Importance

For the assessment of optimum treatment timing in dentofacial orthopedics, understanding the growth process is of paramount importance. The evaluation of skeletal maturity based on study of the morphology of the cervical vertebrae has been devised to minimize radiation exposure of a patient due to hand wrist radiography. Cervical vertebral maturation assessment (CVMA) predictions have been examined in the state-of-the-art machine learning techniques in the recent past which require more attention and validation by clinicians and practitioners.

Objectives

This paper aimed to answer the question “How are machine learning techniques being employed in studies concerning cervical vertebral maturation assessment using lateral cephalograms?”

Method

A systemat

SUBMITTER: Rana S 

PROVIDER: S-EPMC10470275 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature