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 …

The Integration of machine learning and traditional image processing in dentistry has
resulted in many applications like automatic teeth identification and numbering, caries …

Objectives Artificial intelligence (AI) techniques like convolutional neural network (CNN) are
a promising breakthrough that can help clinicians analyze medical imaging, diagnose …

Background: Infraocclusion of deciduous molars is a clinical disturbance that occurs during
primary and mixed dentition and has some orthodontic implications. Infraoccluded teeth are …

Purpose The aim of this study was to assess the performance of a deep learning system for
permanent tooth germ detection on pediatric panoramic radiographs. Materials and Methods …

Purpose: To systematically evaluate artificial intelligence applications for diagnostic and
treatment planning possibilities in pediatric dentistry. Methods: PubMed®, EMBASE® …

Aim The purpose of this research was to present an artificial intelligence (AI) model, which
can automatically segment and detect ectopic eruption of first permanent molars (EMMs) in …

Background Recently, there has been considerable innovation in artificial intelligence (AI)
for healthcare. Convolutional neural networks (CNNs) show excellent object detection and …

Background: Artificial intelligence (AI) refers to the development of computer systems
capable of performing tasks that normally require human intelligence. AI and its subsets …

Aim: Although many studies in various fields employ deep learning models, only a few such
studies exist in dental imaging. The present article aims to evaluate the effectiveness of …