Results 121 to 130 of about 20,661 (261)
Differential diagnosis between oral squamous cell carcinoma and osteomyelitis through mandibular canal changes on panoramic radiographs. [PDF]
Park JE +6 more
europepmc +1 more source
ABSTRACT Aim To compare the item difficulty and discriminative index of multiple‐choice questions (MCQs) generated by ChatGPT with those created by dental educators, based on the performance of dental students in a real exam setting. Materials and Methods A total of 40 MCQs—20 generated by ChatGPT 4.0 and 20 by dental educators—were developed based on ...
Nezaket Ezgi Özer +4 more
wiley +1 more source
Deep learning for automated mandibular canal segmentation in CBCT scans. [PDF]
Huang J +6 more
europepmc +1 more source
ABSTRACT Introduction Endodontic decision‐making is influenced by clinicians' professional training and by the clinical and radiographic characteristics of each case. This study aimed to assess the association of these factors with treatment decisions and to determine whether the addition of clinical information modifies treatment choices compared with
Luahra Peserico +5 more
wiley +1 more source
Imaging-Based Clinical Management of Mandibular Canal Variants: PR-CBCT-Selective MRI. [PDF]
Landfald IC, Łapot M, Olewnik Ł.
europepmc +1 more source
ABSTRACT Introduction Despite increased use of e‐learning, its value in developing practical diagnostic competencies, particularly in oral radiology, remains unclear. The purpose of this study was to evaluate changes in students' IOPAR interpretation scores and structured reporting after participation in an interactive, self‐directed e‐learning module.
Swarna Yerebairapura Math +7 more
wiley +1 more source
Exploring mandibular canal variations using CBCT: A study on clinical relevance and risk assessment. [PDF]
Srivastava R +5 more
europepmc +1 more source
Automated segmentation of the mandibular canal and its anterior loop by deep learning. [PDF]
Oliveira-Santos N +5 more
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
3D Assessment of the Relationship of the Mandibular Buccal Shelf with the Mandibular Canal: A CBCT Retrospective Study. [PDF]
Feliciano J +4 more
europepmc +1 more source

