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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Detalles Bibliográficos
Autores principales: Junaid, Nuha, Khan, Niha, Ahmed, Naseer, Abbasi, Maria Shakoor, Das, Gotam, Maqsood, Afsheen, Ahmed, Abdul Razzaq, Marya, Anand, Alam, Mohammad Khursheed, Heboyan, Artak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Systematic Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778374/
https://www.ncbi.nlm.nih.gov/pubmed/36553978
http://dx.doi.org/10.3390/healthcare10122454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778374/
https://www.ncbi.nlm.nih.gov/pubmed/36553978
http://dx.doi.org/10.3390/healthcare10122454

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