Evaluation of a YOLOv5x-based deep learning model for interproximal caries segmentation on bitewing radiographs across primary and permanent teeth. [PDF]
BMC Oral HealthGüçlü HS, Demirel A, Orhan K.
europepmc +1 more source
Caries imaging using T1 StarVIBE and PETRA sequences compared to normal dental work-up: a proof-of-concept study. [PDF]
Oral RadiolBurian G +7 more
europepmc +1 more source
Development and Comparative Analysis of an AI Based Convolutional Neural Network Algorithm versus Dentists of Varying Experience in Detecting Dental Caries using Bitewing X-ray Images: An <i>In vitro</i> Study. [PDF]
J Pharm Bioallied SciAlbadr AK.
europepmc +1 more source
Magnitude of pulp space narrowing over time and contributing factors in teeth with vital pulp therapy: a retrospective cohort study. [PDF]
Restor Dent EndodBoontankun A +6 more
europepmc +1 more source
Fractal Analysis and Artificial Intelligence for Radiographic Detection of Periodontal Bone Loss: A Systematic Review. [PDF]
Diagnostics (Basel)Güner ZD +4 more
europepmc +1 more source
YOLOv8m-segmentation for detecting cervical burnout and caries in bitewing radiographs: A deep learning approach. [PDF]
Imaging Sci DentIsmail MIB +5 more
europepmc +1 more source
Comparative evaluation of arresting proximal caries in primary molars with Resin Infiltration and Silver Diamine Fluoride: A Randomized Controlled Trial. [PDF]
Rev Cient Odontol (Lima)Kamble A +5 more
europepmc +1 more source
AI-assisted versus traditional radiographic interpretation for early caries detection. [PDF]
BioinformationKarande V +6 more
europepmc +1 more source
Student Performance in Bitewing Caries Detection: Artificial Intelligence Versus Alternative E-learning. [PDF]
Int Dent JNagyová V +4 more
europepmc +1 more source