Deep learning and diagnostic applications in oral and dental health have received
significant attention recently. In this review, studies applying deep learning to diagnose …

Objectives Artificial intelligence (AI) is an emerging field in dentistry. AI is gradually being
integrated into dentistry to improve clinical dental practice. The aims of this sco** review …

Caries and molar-incisor hypomineralization (MIH) are among the most prevalent diseases
worldwide and need to be reliably diagnosed. The use of dental photographs and artificial …

Several artificial intelligence-based models have been presented for the detection of
periodontal bone loss (PBL), mostly using convolutional neural networks, which are the state …

Background Deep learning model trained on a large image dataset, can be used to detect
and discriminate targets with similar but not identical appearances. The aim of this study is to …

Objectives This study evaluates the comparative diagnostic accuracy of dental students and
artificial intelligence (AI), specifically a modified ChatGPT 4, in endodontic assessments …

Objectives This ex vivo diagnostic study aimed to externally validate an open-access
artificial intelligence (AI)-based model for the detection, classification, localisation and …

Objective and Impact Statement: The multi-quantification of the distinct individualized
maxillofacial traits, that is, quantifying multiple indices, is vital for diagnosis, decision …

Objectives Correct identification and management of Developmental Defects of Enamel
(DDEs) are essential to provide the best possible treatment. The present survey aims to …

Background Clinical photographs are now considered an essential element for accurate and
objective dental records. Very little information exists on dental photography in children and …