Artificial intelligence in dentistry—A review

Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require human intelligence. AI is not a new term, the concept of AI can be dated back to 1950. However, it did not become a practical tool until two decades ago. Owing to the rapid development of three cornerstone...

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Main Authors: Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Dental Medicine
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Online Access:https://www.frontiersin.org/articles/10.3389/fdmed.2023.1085251/full
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author Hao Ding
Jiamin Wu
Wuyuan Zhao
Jukka P. Matinlinna
Jukka P. Matinlinna
Michael F. Burrow
James K. H. Tsoi
author_facet Hao Ding
Jiamin Wu
Wuyuan Zhao
Jukka P. Matinlinna
Jukka P. Matinlinna
Michael F. Burrow
James K. H. Tsoi
author_sort Hao Ding
collection DOAJ
description Artificial Intelligence (AI) is the ability of machines to perform tasks that normally require human intelligence. AI is not a new term, the concept of AI can be dated back to 1950. However, it did not become a practical tool until two decades ago. Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have started to provide convenience to people's lives. In dentistry, AI has been adopted in all dental disciplines, i.e., operative dentistry, periodontics, orthodontics, oral and maxillofacial surgery, and prosthodontics. The majority of the AI applications in dentistry are for diagnosis based on radiographic or optical images, while other tasks are not as applicable as image-based tasks mainly due to the constraints of data availability, data uniformity, and computational power for handling 3D data. Evidence-based dentistry (EBD) is regarded as the gold standard for decision making by dental professionals, while AI machine learning (ML) models learn from human expertise. ML can be seen as another valuable tool to assist dental professionals in multiple stages of clinical cases. This review describes the history and classification of AI, summarizes AI applications in dentistry, discusses the relationship between EBD and ML, and aims to help dental professionals better understand AI as a tool to support their routine work with improved efficiency.
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spelling doaj-art-3af43014aaac4fcba4e422383f73c1072025-02-11T09:40:59ZengFrontiers Media S.A.Frontiers in Dental Medicine2673-49152023-02-01410.3389/fdmed.2023.10852511085251Artificial intelligence in dentistry—A reviewHao Ding0Jiamin Wu1Wuyuan Zhao2Jukka P. Matinlinna3Jukka P. Matinlinna4Michael F. Burrow5James K. H. Tsoi6Applied Oral Sciences & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, ChinaApplied Oral Sciences & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, ChinaApplied Oral Sciences & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, ChinaApplied Oral Sciences & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, ChinaDivision of Dentistry, School of Medical Sciences, The University of Manchester, Manchester, United KingdomRestorative Dental Sciences, Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, ChinaApplied Oral Sciences & Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Pokfulam, Hong Kong SAR, ChinaArtificial Intelligence (AI) is the ability of machines to perform tasks that normally require human intelligence. AI is not a new term, the concept of AI can be dated back to 1950. However, it did not become a practical tool until two decades ago. Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have started to provide convenience to people's lives. In dentistry, AI has been adopted in all dental disciplines, i.e., operative dentistry, periodontics, orthodontics, oral and maxillofacial surgery, and prosthodontics. The majority of the AI applications in dentistry are for diagnosis based on radiographic or optical images, while other tasks are not as applicable as image-based tasks mainly due to the constraints of data availability, data uniformity, and computational power for handling 3D data. Evidence-based dentistry (EBD) is regarded as the gold standard for decision making by dental professionals, while AI machine learning (ML) models learn from human expertise. ML can be seen as another valuable tool to assist dental professionals in multiple stages of clinical cases. This review describes the history and classification of AI, summarizes AI applications in dentistry, discusses the relationship between EBD and ML, and aims to help dental professionals better understand AI as a tool to support their routine work with improved efficiency.https://www.frontiersin.org/articles/10.3389/fdmed.2023.1085251/fullartficial intelligence (AI)machine learningneural networkdentistryevidence-based dentistry
spellingShingle Hao Ding
Jiamin Wu
Wuyuan Zhao
Jukka P. Matinlinna
Jukka P. Matinlinna
Michael F. Burrow
James K. H. Tsoi
Artificial intelligence in dentistry—A review
Frontiers in Dental Medicine
artficial intelligence (AI)
machine learning
neural network
dentistry
evidence-based dentistry
title Artificial intelligence in dentistry—A review
title_full Artificial intelligence in dentistry—A review
title_fullStr Artificial intelligence in dentistry—A review
title_full_unstemmed Artificial intelligence in dentistry—A review
title_short Artificial intelligence in dentistry—A review
title_sort artificial intelligence in dentistry a review
topic artficial intelligence (AI)
machine learning
neural network
dentistry
evidence-based dentistry
url https://www.frontiersin.org/articles/10.3389/fdmed.2023.1085251/full
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