TY - JOUR
T1 - Applications and perspectives of artificial intelligence, machine learning and 'dentronics' in dentistry
T2 - A literature review
AU - Mayta-Tovalino, Frank
AU - Munive-Degregori, Arnaldo
AU - Luza, Silvia
AU - Cárdenas-Mariño, Flor
AU - Guerrero, Maria
AU - Barja-Ore, John
N1 - Publisher Copyright:
© 2023 Wolters Kluwer (UK) Ltd.. All rights reserved.
PY - 2023/1
Y1 - 2023/1
N2 - Objective: The aim of this study was to describe artificial intelligence, machine learning, and 'Dentronics' applications and perspectives in dentistry. Materials and Methods: A literature review was carried out to identify the applications of artificial intelligence in the field of dentistry. A specialized search for information was carried out in three databases such as Scopus, PubMed, and Web of Science. Manuscripts published from January 1988 to November 2021 were analyzed. Articles were included without any restriction by language or country. Results: Scopus, PubMed, and Web of Science were found to have 215, 1023, and 98 registered manuscripts, respectively. Duplicates (191 manuscripts) were eliminated. Finally, 4 letters, 12 editorials, 5 books, 1 erratum, 54 conference papers, 3 conference reviews, and 222 reviews were excluded. Conclusions: Artificial intelligence has revolutionized prediction, diagnosis, and therapeutic management in modern dentistry. Finally, artificial intelligence is a potential complement to managing future data in this area.
AB - Objective: The aim of this study was to describe artificial intelligence, machine learning, and 'Dentronics' applications and perspectives in dentistry. Materials and Methods: A literature review was carried out to identify the applications of artificial intelligence in the field of dentistry. A specialized search for information was carried out in three databases such as Scopus, PubMed, and Web of Science. Manuscripts published from January 1988 to November 2021 were analyzed. Articles were included without any restriction by language or country. Results: Scopus, PubMed, and Web of Science were found to have 215, 1023, and 98 registered manuscripts, respectively. Duplicates (191 manuscripts) were eliminated. Finally, 4 letters, 12 editorials, 5 books, 1 erratum, 54 conference papers, 3 conference reviews, and 222 reviews were excluded. Conclusions: Artificial intelligence has revolutionized prediction, diagnosis, and therapeutic management in modern dentistry. Finally, artificial intelligence is a potential complement to managing future data in this area.
KW - Artificial intelligence
KW - machine learning
KW - virtual
UR - http://www.scopus.com/inward/record.url?scp=85150180271&partnerID=8YFLogxK
U2 - 10.4103/jispcd.JISPCD_35_22
DO - 10.4103/jispcd.JISPCD_35_22
M3 - Artículo de revisión
AN - SCOPUS:85150180271
SN - 2231-0762
VL - 13
SP - 1
EP - 8
JO - Journal of International Society of Preventive and Community Dentistry
JF - Journal of International Society of Preventive and Community Dentistry
IS - 1
ER -