Literature DB >> 32020135

Artificial intelligence in dentistry: current applications and future perspectives.

Yo-Wei Chen, Kyle Stanley, Wael Att.   

Abstract

Artificial intelligence (AI) encompasses a broad spectrum of emerging technologies that continue to influence daily life. The evolution of AI makes the analysis of big data possible, which provides reliable information and improves the decision-making process. This article introduces the principles of AI and reviews the development of AI and how it is currently being used. AI technology has influenced the health care field because of the need for accurate diagnosis and superior patient care. In order to understand the trend of AI in dentistry, electronic searching was carried out, combined with approaching individual companies to obtain the details of AI-based services. The current applications of AI in clinical dentistry were introduced and summarized. In the future, the AI-based comprehensive care system is expected to establish high-quality patient care and innovative research and development, facilitating advanced decision support tools. The authors believe that an innovative inter-professional coordination among clinicians, researchers, and engineers will be the key to AI development in the field of dentistry. Despite the potential misinterpretations and the concern of patient privacy, AI will continue to connect with dentistry from a comprehensive perspective due to the need for precise treatment procedures and instant information exchange. Moreover, such developments will enable professionals to share health-related big data and deliver insights that improve patient care through hospitals, providers, researchers, and patients.

Entities:  

Keywords:  artificial intelligence; big data; caries detection; future dentistry; machine learning

Mesh:

Year:  2020        PMID: 32020135     DOI: 10.3290/j.qi.a43952

Source DB:  PubMed          Journal:  Quintessence Int        ISSN: 0033-6572            Impact factor:   1.677


  19 in total

1.  Automatic detection and segmentation of morphological changes of the maxillary sinus mucosa on cone-beam computed tomography images using a three-dimensional convolutional neural network.

Authors:  Kuo Feng Hung; Qi Yong H Ai; Ann D King; Michael M Bornstein; Lun M Wong; Yiu Yan Leung
Journal:  Clin Oral Investig       Date:  2022-01-15       Impact factor: 3.573

2.  Leveraging Clinical Decision Support and Integrated Medical-Dental Electronic Health Records to Implementing Precision in Oral Cancer Risk Assessment and Preventive Intervention.

Authors:  Donald B Rindal; Patricia L Mabry
Journal:  J Pers Med       Date:  2021-08-25

Review 3.  Radiographic modalities for diagnosis of caries in a historical perspective: from film to machine-intelligence supported systems.

Authors:  Ann Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2021-03-04       Impact factor: 3.525

Review 4.  Personalized workflows in reconstructive dentistry-current possibilities and future opportunities.

Authors:  Tim Joda; Nicola U Zitzmann
Journal:  Clin Oral Investig       Date:  2022-03-30       Impact factor: 3.606

5.  A hybrid mask RCNN-based tool to localize dental cavities from real-time mixed photographic images.

Authors:  Umer Rashid; Aiman Javid; Abdur Rehman Khan; Leo Liu; Adeel Ahmed; Osman Khalid; Khalid Saleem; Shaista Meraj; Uzair Iqbal; Raheel Nawaz
Journal:  PeerJ Comput Sci       Date:  2022-02-18

6.  Artificial Intelligence: A New Diagnostic Software in Dentistry: A Preliminary Performance Diagnostic Study.

Authors:  Francesca De Angelis; Nicola Pranno; Alessio Franchina; Stefano Di Carlo; Edoardo Brauner; Agnese Ferri; Gerardo Pellegrino; Emma Grecchi; Funda Goker; Luigi Vito Stefanelli
Journal:  Int J Environ Res Public Health       Date:  2022-02-02       Impact factor: 3.390

7.  Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry-A Systematic Review.

Authors:  Naseer Ahmed; Maria Shakoor Abbasi; Filza Zuberi; Warisha Qamar; Mohamad Syahrizal Bin Halim; Afsheen Maqsood; Mohammad Khursheed Alam
Journal:  Biomed Res Int       Date:  2021-06-22       Impact factor: 3.411

Review 8.  Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review.

Authors:  María Prados-Privado; Javier García Villalón; Carlos Hugo Martínez-Martínez; Carlos Ivorra; Juan Carlos Prados-Frutos
Journal:  J Clin Med       Date:  2020-11-06       Impact factor: 4.241

9.  Artificial Intelligence Application in Assessment of Panoramic Radiographs.

Authors:  Łukasz Zadrożny; Piotr Regulski; Katarzyna Brus-Sawczuk; Marta Czajkowska; Laszlo Parkanyi; Scott Ganz; Eitan Mijiritsky
Journal:  Diagnostics (Basel)       Date:  2022-01-17

Review 10.  Supportive Home Remedies for Orofacial Pain during the Coronavirus Disease 2019 Pandemic: Their Value and Limitations.

Authors:  Yeon-Hee Lee
Journal:  Int J Dent       Date:  2022-01-20
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