Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review.


Journal

BioMed research international
ISSN: 2314-6141
Titre abrégé: Biomed Res Int
Pays: United States
ID NLM: 101600173

Informations de publication

Date de publication:
2022
Historique:
received: 26 10 2021
accepted: 13 05 2022
entrez: 27 6 2022
pubmed: 28 6 2022
medline: 29 6 2022
Statut: epublish

Résumé

Artificial intelligence (AI) is a branch of science concerned with developing programs and computers that can gather data, reason about it, and then translate it into intelligent actions. AI is a broad area that includes reasoning, typical linguistic dispensation, machine learning, and planning. In the area of medicine and dentistry, machine learning is currently the most widely used AI application. This narrative review is aimed at giving an outline of cephalometric analysis in orthodontics using AI. Latest algorithms are developing rapidly, and computational resources are increasing, resulting in increased efficiency, accuracy, and reliability. Current techniques for completely automatic identification of cephalometric landmarks have considerably improved efficiency and growth prospects for their regular use. The primary considerations for effective orthodontic treatment are an accurate diagnosis, exceptional treatment planning, and good prognosis estimation. The main objective of the AI technique is to make dentists' work more precise and accurate. AI is increasingly being used in the area of orthodontic treatment. It has been evidenced to be a time-saving and reliable tool in many ways. AI is a promising tool for facilitating cephalometric tracing in routine clinical practice and analyzing large databases for research purposes.

Identifiants

pubmed: 35757486
doi: 10.1155/2022/1880113
pmc: PMC9225851
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1880113

Informations de copyright

Copyright © 2022 Aravind Kumar Subramanian et al.

Déclaration de conflit d'intérêts

The authors declared there is no conflict of interest.

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Auteurs

Aravind Kumar Subramanian (AK)

Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, India.

Yong Chen (Y)

Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, India.
Department of Stomatology, School of Medicine, Xiamen University, 361005, China.

Abdullah Almalki (A)

Orthodontics, Department of Preventive Dental Science, College of Dentistry, Majmaah University, Al Majmaah 11952, Saudi Arabia.

Gautham Sivamurthy (G)

Dundee Dental School & Hospital, University of Dundee, Scotland, UK.

Dashrath Kafle (D)

Department of Orthodontics, Kathmandu University School of Medical Sciences, Nepal.

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Classifications MeSH