Machine Learning in Orthodontics: A New Approach to the Extraction Decision

Berne, Mary Lanier Zaytoun; Lin, Feng‐Chang; Li, Yi; Wu, Tai-Hsien; Chien, Esther Yun; Ko, Ching‐Chang

doi:10.1007/978-3-030-71881-7_7

Machine Learning in Dentistry 2021

DOI: 10.1007/978-3-030-71881-7_7

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Machine Learning in Orthodontics: A New Approach to the Extraction Decision

Mary Lanier Zaytoun Berne

Feng‐Chang Lin

Yi Li

et al.

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A Critical Review on the 3D Cephalometric Analysis Using Machine Learning

Alsubai

2022

Computers

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Machine learning applications have momentously enhanced the quality of human life. The past few decades have seen the progression and application of machine learning in diverse medical fields. With the rapid advancement in technology, machine learning has secured prominence in the prediction and classification of diseases through medical images. This technological expansion in medical imaging has enabled the automated recognition of anatomical landmarks in radiographs. In this context, it is decisive that machine learning is capable of supporting clinical decision support systems with image processing and whose scope is found in the cephalometric analysis. Though the application of machine learning has been seen in dentistry and medicine, its progression in orthodontics has grown slowly despite promising outcomes. Therefore, the present study has performed a critical review of recent studies that have focused on the application of machine learning in 3D cephalometric analysis consisting of landmark identification, decision making, and diagnosis. The study also focused on the reliability and accuracy of existing methods that have employed machine learning in 3D cephalometry. In addition, the study also contributed by outlining the integration of deep learning approaches in cephalometric analysis. Finally, the applications and challenges faced are briefly explained in the review. The final section of the study comprises a critical analysis from which the most recent scope will be comprehended.

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A Critical Review on the 3D Cephalometric Analysis Using Machine Learning

Alsubai

2022

Computers

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Machine Learning in Orthodontics: A New Approach to the Extraction Decision

Cited by 1 publication

References 13 publications

A Critical Review on the 3D Cephalometric Analysis Using Machine Learning

A Critical Review on the 3D Cephalometric Analysis Using Machine Learning

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