In dentistry, there is a growing need for accurate diagnostic tools, particularly advanced
imaging techniques such as Computed Tomography (CT), Cone Beam Computed …

Oral diseases are very prevalent worldwide and affect people of all ages. Dentists depend
on x-rays to study the characteristics of oral diseases. The segmentation and analysis of …

In response to the growing inspection demand exerted by process automation in component
manufacturing, non-destructive testing (NDT) continues to explore automated approaches …

Background: Dental care has been transformed by neural networks, introducing advanced
methods for improving patient outcomes. By leveraging technological innovation, dental …

The diagnosis and management of dental caries, a prevalent global oral health issue, have
traditionally depended on clinical examination and the interpretation of radiographic images …

Breast cancer is a type of cancer caused by the uncontrolled growth and proliferation of cells
in the breast tissue. Differentiating between benign and malignant tumors is critical in the …

With recent advancements in Artificial Intelligence (AI) influencing various medical fields,
dentistry faces several challenges. Among these challenges, accurate tooth counting and …

This study aimed to evaluate the performance of deep learning algorithms for the
classification and segmentation of impacted mesiodens in pediatric panoramic radiographs …

Objective The purpose of the present study was to verify the diagnostic performance of an AI
system for the automatic detection of teeth, caries, implants, restorations, and fixed …

Purpose: Oral health is an indicator of individuals' health and quality of life. Consequently, it
is a concerning topic faced everyday by healthcare professionals. X-ray images are …