TY  - JOUR
UR  - http://doi.org/10.3390/healthcare10112188
VL  - 10
SN  - 2227-9032
JF  - Healthcare
ID  - uninipr4608
KW  - dentistry; artificial intelligence; deep learning; clinical applications
N2  - 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
Y1  - 2022/10//
AV  - public
TI  - Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives
IS  - 11
A1  - Fatima, Anum
A1  - Shafi, Imran
A1  - Afzal, Hammad
A1  - Díez, Isabel De La Torre
A1  - Lourdes, Del Rio-Solá M.
A1  - Breñosa, Jose
A1  - Martínez Espinosa, Julio César
A1  - Ashraf, Imran
ER  -