Classification of periapical dental X-ray using the YOLOv8 deep learning model. [PDF]
Chaudhari AY +4 more
europepmc +1 more source
Transformer-based intelligent detection model for early dental caries in panoramic radiographs. [PDF]
Wang L, Li Z.
europepmc +1 more source
Outcome of an Extensive Mid-Root Perforation With Unintentional Bioceramic Extrusion: A Case Report With 2-Year Recall Using CBCT. [PDF]
Almufleh LS.
europepmc +1 more source
AI-assisted versus traditional radiographic interpretation for early caries detection. [PDF]
Karande V +6 more
europepmc +1 more source
Application of Artificial Intelligence in Detecting Dental Anomalies: Current Models, Imaging Modalities, and Future Directions. [PDF]
Zarabadi MS +4 more
europepmc +1 more source
Evaluation of a YOLOv5x-based deep learning model for interproximal caries segmentation on bitewing radiographs across primary and permanent teeth. [PDF]
Güçlü HS, Demirel A, Orhan K.
europepmc +1 more source
Student Performance in Bitewing Caries Detection: Artificial Intelligence Versus Alternative E-learning. [PDF]
Nagyová V +4 more
europepmc +1 more source
Factors influencing the frequency of bitewing radiography in general dental practice
Abstract The aim of this study was to determine the influence of a range of patient and dentist factors on the prescription of bitewing radiography. A postal questionnaire of general dental practitioners working in the Birmingham and Manchester areas of England was used.
V E, Rushton +2 more
core +13 more sources

