IP Annals of Prosthodontics and Restorative Dentistry

Print ISSN: 2581-4796

Online ISSN: 2581-480X

IP Annals of Prosthodontics and Restorative Dentistry (APRD) open access, peer-reviewed quarterly journal publishing since 2015 and is published under the Khyati Education and Research Foundation (KERF), is registered as a non-profit society (under the society registration act, 1860), Government of India with the vision of various accredited vocational courses in healthcare, education, paramedical, yoga, publication, teaching and research activity, with the aim of faster and better dissemination of knowledge, we will be publishing the article more...

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Review Article


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1-6


Authors Details

Ilavarasan Anbazhagan*, R Ravichandran, Harsha Kumar K, Vivek V Nair


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Identifying implant abutments and fixtures by application of deep learning concept through artificial intelligence – A review


Review Article

Author Details : Ilavarasan Anbazhagan*, R Ravichandran, Harsha Kumar K, Vivek V Nair

Volume : 10, Issue : 1, Year : 2024

Article Page : 1-6

https://doi.org/10.18231/j.aprd.2024.001



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Abstract

Artificial intelligence (AI) is an evolving and assuring approach in healthcare and has begun to improve the dental science ever since. A subgroup of AI called deep learning (DL) related convolutional neural network algorithm have showed significant applications in computer based tasks and have been shown to be fairly applicable for dental image recognition and treatment planning analysis. This article aims to review the adaptation of artificial intelligence in identifying implant systems and abutments using deep learning concept.
 

Keywords: Deep Learning(DL), Machine Learning(ML), Artificial Intelligence(AI), Convolutional Neural


How to cite : Anbazhagan I, Ravichandran R, Harsha Kumar K, Nair V V, Identifying implant abutments and fixtures by application of deep learning concept through artificial intelligence – A review. IP Ann Prosthodont Restor Dent 2024;10(1):1-6

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