In the global epidemic era, oral problems significantly impact a major population of children.
The key to a child's optimal health is early diagnosis, prevention, and treatment of these …

Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals
based on one's biological, social, and behavioral characteristics. While personalized dental …

Objectives Automatic tooth segmentation and classification from cone beam computed
tomography (CBCT) have become an integral component of the digital dental workflows …

Objectives The aim of this study is to recommend an automatic caries detection and
segmentation model based on the Convolutional Neural Network (CNN) algorithms in dental …

Objective: This study aimed to evaluate an automated detection system to detect and classify
permanent teeth on orthopantomogram (OPG) images using convolutional neural networks …

Artificial intelligence has made substantial progress in medicine. Automated dental imaging
interpretation is one of the most prolific areas of research using AI. X-ray and infrared …

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 …

This review article aims to highlight the current possibilities for applying Artificial Intelligence
in modern forensic medicine and forensic dentistry and present the advantages and …

The use of artificial intelligence (AI) in dentistry is rapidly evolving and could play a major
role in a variety of dental fields. This study assessed patients' perceptions and expectations …

Background The aim of this study was to develop artificial intelligence (AI) guided framework
to recognize tooth numbers in panoramic and intraoral radiographs (periapical and …