Avances, aplicaciones y perspectivas de la inteligencia artificial en periodoncia. Revisión de alcance.

Abstract

Artificial intelligence (AI) has become a frequently used tool in periodontal diagnosis and treatment; however, its widespread implementation faces several challenges. This study aimed to determine AI's advances, applications, and perspectives in periodontics through a scoping review of contemporary literature. A scoping review was conducted using scientific databases such as SCOPUS, WoS, PubMed, and SciELO. The results demonstrated that AI has significantly improved diagnostic accuracy by evaluating radiographic images and detecting periodontitis-associated genetic biomarkers. Nevertheless, discrepancies were identified concerning the standardization of methodologies and the heterogeneity of the data used. The conclusions emphasize that, although AI has made remarkable advances in the field of periodontics, it is necessary to address technological and methodological limitations to facilitate its full integration into clinical practice and increase its acceptance among healthcare professionals and patients.

Keywords: Advances, applications, perspectives, artificial intelligence, periodontics