Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives

Artificial intelligence has been widely used in the field of dentistry in recent years. The present study highlights current advances and limitations in integrating artificial intelligence, machine learning, and deep learning in subfields of dentistry including periodontology, endodontics, orthodont...

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Bibliographic Details
Published in:Healthcare (Basel) 2022-10, Vol.10 (11), p.2188
Main Authors: Fatima, Anum, Shafi, Imran, Afzal, Hammad, Díez, Isabel De La Torre, Lourdes, Del Rio-Solá M, Breñosa, Jose, Espinosa, Julio César Martínez, Ashraf, Imran
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Clinical decision making
Data analysis
Decision support systems
Deep learning
Dental health
Dental research
Dentistry
Disease
Endodontics
Fuzzy logic
Fuzzy sets
Machine learning
Medical diagnosis
Neural networks
Orthodontics
Periodontics
Risk assessment
Technology application
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Summary:Artificial intelligence has been widely used in the field of dentistry in recent years. The present study highlights current advances and limitations in integrating artificial intelligence, machine learning, and deep learning in subfields of dentistry including periodontology, endodontics, orthodontics, restorative dentistry, and oral pathology. This article aims to provide a systematic review of current clinical applications of artificial intelligence within different fields of dentistry. The preferred reporting items for systematic reviews (PRISMA) statement was used as a formal guideline for data collection. Data was obtained from research studies for 2009–2022. The analysis included a total of 55 papers from Google Scholar, IEEE, PubMed, and Scopus databases. Results show that artificial intelligence has the potential to improve dental care, disease diagnosis and prognosis, treatment planning, and risk assessment. Finally, this study highlights the limitations of the analyzed studies and provides future directions to improve dental care.
ISSN:2227-9032
2227-9032
DOI:10.3390/healthcare10112188