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 …

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 …

Dental problems are one of the most common health problems for people. To detect and
analyze these problems, dentists often use panoramic radiographs that show the entire …

Objectives The aim of this study was automatically detecting and numbering teeth in digital
bitewing radiographs obtained from patients, and evaluating the diagnostic efficiency of …

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

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 …

Objectives: To construct a diagnostic model for mixed dentition using a multistage deep-
learning network to predict potential ectopic eruption in permanent teeth by integrating …

Objective: The aim of this study was to allow researchers to evaluate the Periotest device as
a reproducible tool that can be trusted to carry out accurately reproducible and comparable …

Background and aim Artificial intelligence (AI) technology has been increasingly developed
in oral and maxillofacial imaging. The aim of this systematic review was to assess the …

Objectives In the interpretation of panoramic radiographs (PRs), the identification and
numbering of teeth is an important part of the correct diagnosis. This study evaluates the …