Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …

Artificial intelligence (AI) is emerging as a transformative technology in healthcare, including
endodontics. A gap in knowledge exists in understanding AI's applications and limitations …

Objective The aim of this study was to employ artificial intelligence (AI) via convolutional
neural network (CNN) for the separation of oral lichen planus (OLP) and non-OLP in biopsy …

While a large number of archived digital images make it easy for radiology to provide data
for Artificial Intelligence (AI) evaluation; AI algorithms are more and more applied in …

The study aims to evaluate the diagnostic performance of an artificial intelligence system
based on deep learning for the segmentation of occlusal, proximal and cervical caries …

Artificial intelligence (AI) is limited to teeth and periodontal disease in the dental field, and is
used for diagnosis assistance or data analysis, and there has been no research conducted …

Objectives To evaluate the diagnostic performance of three versions of a deep-learning
convolutional neural network in terms of object detection and segmentation using a …

Objectives This study, which uses artificial intelligence-based methods, aimed to determine
the limits of pathologic conditions and infections related to the maxillary sinus in cone beam …

Background and aim Artificial intelligence (AI) technology has been increasingly developed
in oral and maxillofacial imaging. The aim of this systematic review was to assess the …

Background This study aims to evaluate the performance of a deep learning system for the
evaluation of tooth development stages on images obtained from panoramic radiographs …