Objective To perform a comprehensive review of the use of artificial intelligence (AI) and
machine learning (ML) in dentistry, providing the community with a broad insight on the …

This literature research had two main objectives. The first objective was to quantify how
frequently artificial intelligence (AI) was utilized in dental literature from 2011 until 2021. The …

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 …

Abstract Objective Artificial Intelligence (AI) refers to the ability of machines to perform
cognitive and intellectual human tasks. In dentistry, AI offers the potential to enhance …

Third molar impacted teeth are a common issue with all ages, possibly causing tooth decay,
root resorption, and pain. This study was aimed at developing a computer-assisted detection …

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 …

Machine learning (ML) is being increasingly employed in dental research and application.
We aimed to systematically compile studies using ML in dentistry and assess their …

Bitewing radiographic imaging is an excellent diagnostic tool for detecting caries and
restorations that are difficult to view in the mouth, particularly at the molar surfaces. Labeling …

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 …