eprintid: 4608 rev_number: 12 eprint_status: archive userid: 2 dir: disk0/00/00/46/08 datestamp: 2022-11-16 23:30:10 lastmod: 2023-07-10 23:30:13 status_changed: 2022-11-16 23:30:10 type: article metadata_visibility: show creators_name: Fatima, Anum creators_name: Shafi, Imran creators_name: Afzal, Hammad creators_name: Díez, Isabel De La Torre creators_name: Lourdes, Del Rio-Solá M. creators_name: Breñosa, Jose creators_name: Martínez Espinosa, Julio César creators_name: Ashraf, Imran creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: josemanuel.brenosa@uneatlantico.es creators_id: ulio.martinez@unini.edu.mx creators_id: title: Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives ispublished: pub subjects: uneat_bm subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: unincol_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: uninipr_produccion_cientifica divisions: unic_produccion_cientifica full_text_status: public keywords: dentistry; artificial intelligence; deep learning; clinical applications 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 date: 2022-10 publication: Healthcare volume: 10 number: 11 pagerange: 2188 id_number: doi:10.3390/healthcare10112188 refereed: TRUE issn: 2227-9032 official_url: http://doi.org/10.3390/healthcare10112188 access: open language: en citation: Artículo Materias > Biomedicina Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Fundación Universitaria Internacional de Colombia > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional Iberoamericana Puerto Rico > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Producción Científica Abierto Inglés 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 metadata Fatima, Anum; Shafi, Imran; Afzal, Hammad; Díez, Isabel De La Torre; Lourdes, Del Rio-Solá M.; Breñosa, Jose; Martínez Espinosa, Julio César y Ashraf, Imran mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, josemanuel.brenosa@uneatlantico.es, ulio.martinez@unini.edu.mx, SIN ESPECIFICAR (2022) Advancements in Dentistry with Artificial Intelligence: Current Clinical Applications and Future Perspectives. Healthcare, 10 (11). p. 2188. ISSN 2227-9032 document_url: http://repositorio.unib.org/id/eprint/4608/1/healthcare-10-02188-v2.pdf