Development, Application, and Performance of Artificial Intelligence in Cephalometric Landmark Identification and Diagnosis: A Systematic Review

Development, Application, and Performance of Artificial Intelligence in Cephalometric Landmark Identification and Diagnosis: A Systematic Review

This study aimed to analyze the existing literature on how artificial intelligence is being used to support the identification of cephalometric landmarks. The systematic analysis of literature was carried out by performing an extensive search in PubMed/MEDLINE, Google Scholar, Cochrane, Scopus, and...

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Bibliographic Details
Main Authors: Nuha Junaid, Niha Khan, Naseer Ahmed, Maria Shakoor Abbasi, Gotam Das, Afsheen Maqsood, Abdul Razzaq Ahmed, Anand Marya, Mohammad Khursheed Alam, Artak Heboyan
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Healthcare
Subjects:
artificial intelligence
automated orthodontic diagnosis
deep learning
cephalometry
convolutional neural networks
head and neck imaging
Online Access:https://www.mdpi.com/2227-9032/10/12/2454

Internet

https://www.mdpi.com/2227-9032/10/12/2454

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