IP Annals of Prosthodontics and Restorative Dentistry
Official Publication of Khyati Education And Research Foundation
Official Publication of Khyati Education And Research Foundation
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...Review Article
Author Details :
Volume : 10, Issue : 2, Year : 2024
Article Page : 118-123
https://doi.org/10.18231/j.aprd.2024.023
Abstract
Artificial intelligence (AI) has a substantial impact on various domains of society, including its significant role in revolutionizing dental care. These technological innovations have transformed dental treatment, expediting efficiency and innovation in the field. This review focuses on the substantial advancements in AI-based research in dental implantology, exploring the various applications of AI to enhance dental implant care. Comprehensive data from databases, including PubMed, Scopus, Web of Science, Cochrane, and Google Scholar, was thoroughly scrutinized and presented. AI has significantly impacted healthcare and dental implantology by enhancing efficiency, diagnosis, and clinical decision-making. In dental implantology, AI plays a crucial role in several aspects, such as implant identification, implant planning, prediction, and peri-implantitis management. AI models, including machine learning and deep learning, have been applied to identify implant brands accurately, outperforming dental professionals in some cases. Implant planning has been streamlined using AI to evaluate bone dimensions and locate critical anatomical landmarks. Using patient data and radiographic features, AI-driven prediction models proved as powerful tools for predicting implant success and peri-implantitis risk. Additionally, AI helps in the early recognition of complications like fractured implants and bio-tribocorrosion.
Keywords: Artificial intelligence, Dental Implants, Machine learning, Deep learning, Peri-implantitis
How to cite : Benakatti V, Nayakar R P, Patil S, Artificial intelligence applications in dental implantology: A narrative review. IP Ann Prosthodont Restor Dent 2024;10(2):118-123
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