Results 181 to 190 of about 51,027 (308)

Artificial Intelligence in the Detection of Clinically Negotiable Second Mesio‐Buccal Canals in Periapical Images of Maxillary Molars

open access: yesInternational Endodontic Journal, EarlyView.
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]

open access: yesJ Dent Anesth Pain Med
Marin S   +7 more
europepmc   +1 more source

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis

open access: yesInternational Endodontic Journal, EarlyView.
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

Endodontic Complexity: A Scoping Review of Case Difficulty Assessment Tools and Indices

open access: yesInternational Endodontic Journal, EarlyView.
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

Prevalence of Bifid Mandibular Canal: A Systematic Review and Meta-analysis. [PDF]

open access: yesWorld J Plast Surg, 2023
Samieirad S   +7 more
europepmc   +1 more source

Practitioners' Perceptions of Augmented and Virtual Reality in Endodontic Treatment Planning: A Pilot Study

open access: yesInternational Endodontic Journal, EarlyView.
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

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