The Validity and Reliability of Automatic Tooth Segmentation Generated Using Artificial Intelligence.


Journal

TheScientificWorldJournal
ISSN: 1537-744X
Titre abrégé: ScientificWorldJournal
Pays: United States
ID NLM: 101131163

Informations de publication

Date de publication:
2023
Historique:
received: 10 02 2023
revised: 03 07 2023
accepted: 08 07 2023
medline: 28 7 2023
pubmed: 27 7 2023
entrez: 27 7 2023
Statut: epublish

Résumé

This study aimed at evaluating the precision of the segmented tooth model (STM) that was produced by the artificial intelligence (AI) program (CephX®) with an intraoral scan (IOS) and insignia outcomes.

Identifiants

pubmed: 37497386
doi: 10.1155/2023/5933003
pmc: PMC10368498
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

5933003

Informations de copyright

Copyright © 2023 Ammar Sh. Al-Ubaydi and Dheaa Al-Groosh.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest regarding the publication of this article.

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Auteurs

Ammar Sh Al-Ubaydi (AS)

College of Dentistry, University of Baghdad, Baghdad, Iraq.
Ministry of Health, Baghdad, Iraq.

Dheaa Al-Groosh (D)

Orthodontic Department, College of Dentistry, University of Baghdad, Baghdad, Iraq.

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Classifications MeSH