Results 121 to 130 of about 20,661 (261)

Examining the Role of Artificial Intelligence in Assessment: A Comparative Study of ChatGPT and Educator‐Generated Multiple‐Choice Questions in a Dental Exam

open access: yesEuropean Journal of Dental Education, EarlyView.
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]

open access: yesBMC Oral Health
Huang J   +6 more
europepmc   +1 more source

Professional Training and Clinical/Radiographic Factors Associated With Endodontic Decision‐Making: A Before‐and‐After Study

open access: yesEuropean Journal of Dental Education, EarlyView.
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

Digital Learning Meets Diagnostic Dentistry: A Mixed‐Methods Study to Evaluate Intraoral Periapical Radiograph Interpretation

open access: yesEuropean Journal of Dental Education, EarlyView.
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

Automated segmentation of the mandibular canal and its anterior loop by deep learning. [PDF]

open access: yesSci Rep, 2023
Oliveira-Santos N   +5 more
europepmc   +1 more source

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

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