RT info:eu-repo/semantics/article
T1 Advancements in dentistry with artificial intelligence: Current clinical applications and future perspectives
A1 Fatima, Anum
A1 Shafi, Imran
A1 Afzal, Hammad
A1 Torre Díez, Isabel de la
A1 Río Sola, María Lourdes del
A1 Breñosa, Jose
A1 Martínez Espinosa, Julio César
A1 Ashraf, Imran
K1 Dentistry
K1 Odontología
K1 Artificial intelligence
K1 Inteligencia artificial
K1 Machine learning
K1 Aprendizaje automático
K1 Deep learning (Machine learning)
K1 Artificial intelligence - Medical applications
K1 32 Ciencias Médicas
K1 1203.04 Inteligencia Artificial
AB 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.
SN 2227-9032
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/59977
UL https://uvadoc.uva.es/handle/10324/59977
LA eng
NO Healthcare, 2022, Vol, 10, Nº. 11, 2188
NO Producción Científica
DS UVaDOC
RD 14-oct-2024