Artificial intelligence in dentistry-A review

被引:73
作者
Ding, Hao [1 ]
Wu, Jiamin [1 ]
Zhao, Wuyuan [1 ]
Matinlinna, Jukka P. [1 ,2 ]
Burrow, Michael F. [3 ]
Tsoi, James K. H. [1 ]
机构
[1] Univ Hong Kong, Appl Oral Sci & Community Dent Care, Fac Dent, Pokfulam, Hong Kong, Peoples R China
[2] Univ Manchester, Sch Med Sci, Div Dent, Manchester, Lancs, England
[3] Univ Hong Kong, Restorat Dent Sci, Fac Dent, Pokfulam, Hong Kong, Peoples R China
来源
FRONTIERS IN DENTAL MEDICINE | 2023年 / 4卷
关键词
artficial intelligence (AI); machine learning; neural network; dentistry; evidence-based dentistry; CONVOLUTIONAL NEURAL-NETWORK; DIAGNOSIS; PREDICTION; ORTHODONTICS; EXTRACTIONS; INFORMATION; PERFORMANCE; SYSTEM; HEALTH;
D O I
10.3389/fdmed.2023.1085251
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
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 has 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 been 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 go to the 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 the decision-making of 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 narrated the history and classification of AI, summarised AI applications in dentistry, discussed the relationship between EBD and ML, and aimed to help dental professionals to understand AI as a tool better to assist their routine work with improved efficiency.
引用
收藏
页数:13
相关论文
共 100 条
[81]   Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment [J].
Thanathornwong, Bhornsawan .
HEALTHCARE INFORMATICS RESEARCH, 2018, 24 (01) :22-28
[82]   DCPR-GAN: Dental Crown Prosthesis Restoration Using Two-Stage Generative Adversarial Networks [J].
Tian, Sukun ;
Wang, Miaohui ;
Dai, Ning ;
Ma, Haifeng ;
Li, Linlin ;
Fiorenza, Luca ;
Sun, Yuchun ;
Li, Yangmin .
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (01) :151-160
[83]   Impact of the global burden of periodontal diseases on health, nutrition and wellbeing of mankind: A call for global action [J].
Tonetti, Maurizio S. ;
Jepsen, Soren ;
Jin, Lijian ;
Otomo-Corgel, Joan .
JOURNAL OF CLINICAL PERIODONTOLOGY, 2017, 44 (05) :456-462
[84]  
Turing A. M., 1950, Mind, V59, P433, DOI [10.1093/mind/LIX.236.433, DOI 10.1093/MIND/LIX.236.433]
[85]  
Vadlamani R., 2020, Application of machine learning technologies for detection of proximal lesions in intraoral digital images: in vitro study, DOI [10.18297/etd/3519, DOI 10.18297/ETD/3519]
[86]   Health information exchange: persistent challenges and new strategies [J].
Vest, Joshua R. ;
Gamm, Larry D. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2010, 17 (03) :288-294
[87]   AI-based analysis of oral lesions using novel deep convolutional neural networks for early detection of oral cancer [J].
Warin, Kritsasith ;
Limprasert, Wasit ;
Suebnukarn, Siriwan ;
Jinaporntham, Suthin ;
Jantana, Patcharapon ;
Vicharueang, Sothana .
PLOS ONE, 2022, 17 (08)
[88]   Dense representative tooth landmark/axis detection network on 3D model [J].
Wei, Guangshun ;
Cui, Zhiming ;
Zhu, Jie ;
Yang, Lei ;
Zhou, Yuanfeng ;
Singh, Pradeep ;
Gu, Min ;
Wang, Wenping .
COMPUTER AIDED GEOMETRIC DESIGN, 2022, 94
[89]   Evaluation of a Novel Computer Color Matching System Based on the Improved Back-Propagation Neural Network Model [J].
Wei, Jiaqiang ;
Peng, Mengdong ;
Li, Qing ;
Wang, Yining .
JOURNAL OF PROSTHODONTICS-IMPLANT ESTHETIC AND RECONSTRUCTIVE DENTISTRY, 2018, 27 (08) :775-783
[90]  
WEIZENBAUM J, 1966, COMMUN ACM, V9, P36, DOI 10.1145/357980.357991