Comprehensive Insights into Artificial Intelligence for Dental Lesion Detection: A Systematic Review.

ABSTRACT: Background/Objectives: The growing demand for artificial intelligence (AI) in healthcare is driven by the need for more robust and automated diagnostic systems. These methods not only provide accurate diagnoses but also promise to enhance operational efficiency and optimize resource utilization in clinical workflows. In the field of dental lesion detection, the application of deep learning models to various imaging techniques has gained significant prominence. This study presents a comprehensive systematic review of the utilization of deep learning methods for detecting dental lesions across different imaging modalities, including panoramic imaging, periapical radiographs, and cone-beam computed tomography (CBCT). A systematic search was conducted following the Preferred Reporting I

SUBMITTER: Demir K 

PROVIDER: S-EPMC11640338 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature