Results
Title

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

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

Abstract

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.

Subjects

ONLINE information services; SYSTEMATIC reviews; ARTIFICIAL intelligence; DENTISTRY; MEDLINE

Publication

Healthcare (2227-9032), 2022, Vol 10, Issue 11, p2188

ISSN

2227-9032

Publication type

Academic Journal

DOI

10.3390/healthcare10112188