Artificial Intelligence and Machine Learning for Automated Cephalometric Landmark Identification: A Meta-Analysis Previewed by a Systematic Review

Digital dentistry has become an integral part of our practice today, with artificial intelligence (AI) playing the predominant role. The present systematic review was intended to detect the accuracy of landmarks identified cephalometrically using machine learning and artificial intelligence and comp...

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Detalles Bibliográficos
Autores principales: Rauniyar, Sabita, Jena, Sanghamitra, Sahoo, Nivedita, Mohanty, Pritam, Dash, Bhagabati P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368300/
https://www.ncbi.nlm.nih.gov/pubmed/37496553
http://dx.doi.org/10.7759/cureus.40934

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368300/
https://www.ncbi.nlm.nih.gov/pubmed/37496553
http://dx.doi.org/10.7759/cureus.40934

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