Introduction The aim of this systematic review and meta-analysis was to investigate the
overall accuracy of deep learning models in detecting periapical (PA) radiolucent lesions in …

Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

Technological advancements in health sciences have led to enormous developments in
artificial intelligence (AI) models designed for application in health sectors. This article …

Aims The future dental and endodontic education must adapt to the current digitalized
healthcare system in a hyper-connected world. The purpose of this scoping review was to …

Objectives In recent years, periodontitis, and dental caries have become common in humans
and need to be diagnosed in the early stage to prevent severe complications and tooth loss …

The application of artificial intelligence (AI) based on deep learning in dental diagnostic
imaging is increasing. Several popular deep learning tasks have been applied to dental …

Objective: This work aimed to detect automatically periapical lesion on panoramic
radiographs (PRs) using deep learning. Methods: 454 objects in 357 PRs were anonymized …

This study aims to evaluate the diagnostic accuracy of artificial intelligence in detecting
apical pathosis on periapical radiographs. A total of twenty anonymized periapical …

Background: The aim of our study is to provide successful automatic segmentation of various
objects on orthopantomographs (OPGs). Methods: 8138 OPGs obtained from the archives of …

Objective The aim of this study was to develop an artificial intelligence (AI) algorithm to
automatically and accurately determine the stage of cervical vertebra maturation (CVM) with …