The increasing storage of information, data, and forms of knowledge has led to the
development of new technologies that can help to accomplish complex tasks in different …

Machine learning (ML) is being increasingly employed in dental research and application.
We aimed to systematically compile studies using ML in dentistry and assess their …

Objective To evaluate the performance of a new artificial intelligence (AI)-driven tool for tooth
detection and segmentation on panoramic radiographs. Materials and methods In total, 153 …

Objective: The first aim of this study was to determine the performance of a deep learning
object detection technique in the detection of maxillary sinuses on panoramic radiographs …

Over the last few years, translational applications of so-called artificial intelligence in the
field of medicine have garnered a significant amount of interest. The present article aims to …

In dentistry, practitioners interpret various dental X-ray imaging modalities to identify tooth-
related problems, abnormalities, or teeth structure changes. Another aspect of dental …

It is necessary to accurately identify dental implant brands and the stage of treatment to
ensure efficient care. Thus, the purpose of this study was to use multi-task deep learning to …

Objectives Radiological examination has an important place in dental practice, and it is
frequently used in intraoral imaging. The correct numbering of teeth on radiographs is a …

Objective The aim of this study was to compare time and storage space requirements,
diagnostic performance, and consistency among 3 image recognition convolutional neural …

Objectives This study aimed to examine the performance of deep learning object detection
technology for detecting and identifying maxillary cyst-like lesions on panoramic …