Cephalometric Analysis in Orthodontics Using Artificial Intelligence—A Comprehensive Review.
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...
| Publicado en: | BioMed Research International pp. 1 - 10 |
|---|---|
| Autores principales: | , , , , |
| Formato: | diagnostic images review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/16/2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157490986&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157490986 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/16/2022 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 157490986 157490986 157490986 10.1155/2022/1880113 157490986 ppf: 1 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Cephalometric Analysis in Orthodontics Using Artificial Intelligence—A Comprehensive Review. aug: au: Subramanian, Aravind Kumar Chen, Yong Almalki, Abdullah Sivamurthy, Gautham Kafle, Dashrath affil: Department of Orthodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai 600077, India sug: subj: Orthodontics Cephalometry Methods Artificial Intelligence Algorithms Automation Tooth Diseases Diagnosis Tooth Diseases Therapy Tooth Diseases Prognosis Dentists Clinical Competence ab: 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. pubtype: Academic Journal doctype: diagnostic images review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|