ARTIFICIAL INTELLIGENCE IN IMPLANT DENTISTRY: CLINICAL APPLICATIONS AND ETHICAL CHALLENGES IN DIGITAL DENTAL PRACTICE

Abstract

This study provides a national bibliographic review on the application of artificial intelligence in implant dentistry, aiming to map technical contributions to implant planning and execution, identify evidence regarding failure prediction and postoperative monitoring, and examine ethical and regulatory challenges associated with digital workflows in clinical practice, the review combined searches across national databases and repositories, critical selection of relevant publications and thematic synthesis of findings, results show meaningful improvements in diagnostic accuracy, automatic segmentation and CAD/CAM workflow support, advantages that enhance surgical predictability and prosthetic efficiency, however recurring methodological limitations were identified, including low rates of external validation, outcome heterogeneity and a lack of representative image repositories, ethical implications related to privacy, informed consent, algorithmic explainability and legal responsibility call for data governance, software certification and professional training, we recommend prioritizing multicenter studies with prospective validation, public policies to broaden technological access and educational programs that integrate technical skills and ethical principles, these measures are essential to translate technological promise into sustainable benefits for patients and dental services.