@article{uninipr4608,
          volume = {10},
           title = {Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives},
          author = {Anum Fatima and Imran Shafi and Hammad Afzal and Isabel De La Torre D{\'i}ez and Del Rio-Sol{\'a} M. Lourdes and Jose Bre{\~n}osa and Julio C{\'e}sar Mart{\'i}nez Espinosa and Imran Ashraf},
         journal = {Healthcare},
            year = {2022},
           pages = {2188},
          number = {11},
           month = {Octubre},
        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},
        keywords = {dentistry; artificial intelligence; deep learning; clinical applications},
             url = {http://repositorio.unib.org/id/eprint/4608/}
}