A Longitudinal Cone Beam Computed Tomography Study of Mandibular Canal Changes During Growth. [PDF]
Chen SH, Boucher N, Chung CH, Li C.
europepmc +1 more source
ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang +8 more
wiley +1 more source
Bifid mandibular canal assessment and its relevance to local anesthesia. [PDF]
Marin S +7 more
europepmc +1 more source
Bifid Mandibular Canal: A Proportional Meta-Analysis of Computed Tomography Studies. [PDF]
Aung NM, Myint KK.
europepmc +1 more source
Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas +9 more
wiley +1 more source
A Deep Metric Learning and Multimodal Gated Fusion Framework for AI-Driven Risk Assessment of Lingual Plate Perforation and Mandibular Canal Injury in Posterior Mandible Implants. [PDF]
Al-Taezi KA +6 more
europepmc +1 more source
Endodontic Complexity: A Scoping Review of Case Difficulty Assessment Tools and Indices
ABSTRACT Background Endodontic treatment varies in complexity, and accurate assessment of case difficulty is essential for clinical success, guiding referrals, and enhancing patient safety, particularly amongst general dental practitioners (GDPs). Objective This scoping review aimed to identify and appraise the available tools and indices developed to ...
Galvin S. S. Lin +5 more
wiley +1 more source
The Positional Relationship Between the Mandibular Canal and the Lower Third Molar Determined on Cone-Beam Computed Tomography. [PDF]
Urechescu H +5 more
europepmc +1 more source
Prevalence of Bifid Mandibular Canal: A Systematic Review and Meta-analysis. [PDF]
Samieirad S +7 more
europepmc +1 more source
ABSTRACT Aim To develop a streamlined software workflow for converting cone‐beam computed tomography (CBCT) data into augmented reality (AR) and virtual reality (VR) formats, and to evaluate dental practitioners' perceptions of these advanced visualisation modalities compared to conventional CBCT analysis for endodontic treatment planning.
Marcel Reymus +3 more
wiley +1 more source

