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

The increasing use of computed tomography (CT) and cone beam computed tomography
(CBCT) in oral and maxillofacial imaging has driven the development of deep learning and …

Purpose To present a novel protocol for authentic three-dimensional (3D) planning of dental
implants, using artificial intelligence (AI) and augmented reality (AR). Methods The novel …

In the context of rapid technological advancements, the narrative review titled" Digital
Pathology: Transforming Diagnosis in the Digital Age" explores the significant impact of …

The aim was to systematically synthesize the current research and influence of artificial
intelligence (AI) models on temporomandibular joint (TMJ) osteoarthritis (OA) diagnosis …

Peri-implantitis can cause marginal bone remodeling around implants. The aim is to develop
an automatic image processing approach based on two artificial intelligence (AI) techniques …

Machine learning applications have momentously enhanced the quality of human life. The
past few decades have seen the progression and application of machine learning in diverse …

Introduction Teaching of dental caries diagnostics is an essential part of dental education.
Diagnosing proximal caries is a challenging task, and automated systems applying artificial …

This review explores the impact of Artificial Intelligence (AI) in dentistry, reflecting on its
potential to reshape traditional practices and meet the increasing demands for high-quality …

Background Information about the range of Hounsfield values for healthy teeth tissues could
become an additional tool in assessing dental health and could be used, among other data …