Applications and Perspectives of Artificial Intelligence, Machine Learning and “Dentronics” in Dentistry - A Literature Review

Aug 5, 2026

Objective: This literature review describes applications and perspectives of artificial intelligence, machine learning, and “dentronics” in dentistry. Materials and Methods: Searches were conducted across Scopus, PubMed, and Web of Science, analyzing manuscripts from January 1988 to November 2021, with no language or country restrictions. Results: Scopus (215), PubMed (1023), and Web of Science (98) records were identified; 191 duplicates were removed, and exclusions were applied to multiple document types. Conclusions: Artificial intelligence improves prediction, diagnosis, and therapeutic management in modern dentistry and may complement future data handling in the field.

LanguageEnglish

CategoryTechnology

FormatPDF

Pages8

Reading Time20 min

AccessFree to download

Introduction

Artificial intelligence in healthcare and dentistry

Digital dentistry and AI algorithms

Review objectives and methods

Literature search databases and date range

Inclusion criteria and selection process

Results and conclusions

Evidence of impact on diagnosis and management

AI as a future complement for dental data

Downloaded from [http://journals.lww.com/jpcd by BhDMf5ePHKav1zEoum1tQfN4a](http://journals.lww.com/jpcd by BhDMf5ePHKav1zEoum1tQfN4a)+kJLhEZgbsIHo4XMi0hCywCX1AW nYQp/ I l Qr HD3i 3 D0OdRyi 7TvS Fl4Cf3VC 1y0abggQZXdgGj2MwlZLeI= on 10/19/2023 Review Article Applications and Perspectives of Artificial Intelligence, Machine Learning and “Dentronics” in Dentistry: A Literature Review Frank Mayta-Tovalino1, Arnaldo Munive-Degregori2, Silvia Luza2, Flor C. Cárdenas-Mariño2, Maria Eugenia Guerrero3, John Barja-Ore4 1CHANGE Research Working Group, Faculty of Health Sciences, Universidad Cientificadel Sur, 2Posgraduate Department, Facultad de Letras y Humanidades, Universidad Nacional Mayor de San Marcos, 3Academic Department of Medical and Surgical Stomatology, Faculty of Dentistry, Universidad Nacional Mayor de San Marcos, 4Academic Department, Dirección de Investigación, Universidad Privada del Norte, Lima, Peru Received : 11-02-22 Revised : 08-06-22 Accepted : 28-06-22 Published : 27-02-23 AbstrAct 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. Keywords: Artificial intelligence, machine learning, virtual IntroductIon A rtificial intelligence (AI) uses machine performance to replicate human behavior. In health care, the rise of modern, digitized technology to perform a medical examination has proven to simplify the processes of collecting and analyzing clinical data. Softwarelike algorithms used on AI are the main components used in the dental field. However, truly autonomous medical robotic systems are still not available. Due to their powerful data analysis, dental diagnosis accuracy and efficiency are expected to be enhanced by these virtual algorithms.[1-5] Digital dentistry requires modern technology to enable specialized processing of these data. Specifically, in the field of dentistry there are some applications of AI such as scanners: TRIOS which is superior to CEREC and SHINING in accuracy | Access this article online | | | --- | --- | | Quick Response Code:
| [Website:](Website: www.jispcd.org)[ www.jispcd.org](Website: www.jispcd.org) | | | DOI: 10.4103/jispcd.JISPCD_35_22 | punctually in the intraoral option. Being clinically significant, it is consolidated as a standard reference.[6] Since the development of science, scientists have sought to decipher the complexity of the human cerebrum, which is a maze of interconnected neurons that transmit signals throughout the body.[1] Therefore, it remains a challenge to design a model that mimics the activity and processing of the human cerebrum. The constant hard work and effort of researchers over several years result in AI evolution. This term was first used in approximately | Address for correspondence: Dr. Frank Mayta-Tovalino, CHANGE Research Working Group, Faculty of Health Sciences, Universidad Cientifica del Sur, Av. la Fontana 750, La Molina, Lima 15024, Peru.
E-mail: [fmaytat@unmsm.edu.pe](fmaytat@unmsm.edu.pe) | |

FAQs

What is the main aim of this literature review?

The review aims to describe applications and perspectives of artificial intelligence, machine learning, and “dentronics” in dentistry.

Which databases and time range were used for the search?

The study searched Scopus, PubMed, and Web of Science for manuscripts from January 1988 to November 2021.

How did the review handle duplicates and exclusions?

Duplicates were removed (191 manuscripts), and then multiple document types such as letters, editorials, books, erratum, conference materials, and some reviews were excluded.

What outcomes does the review report for artificial intelligence in dentistry?

Artificial intelligence is reported to revolutionize prediction, diagnosis, and therapeutic management, and to serve as a potential complement for managing future dental data.

Aug 5, 2026

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