Results 241 to 250 of about 164,955 (337)
ABSTRACT Introduction This prospective cohort study evaluated dental students' confidence and competency in root canal treatment across their dental programme, encompassing the transition from preclinical laboratory to clinical patient care. Material and Methods A cohort of 23 dental students was assessed during four phases of the DDS program over ...
Gabriela Umpierre Crespo +4 more
wiley +1 more source
Artificial Intelligence-Assisted Longitudinal Analysis Reveals a Novel Rare Fainting Wisdom Tooth Phenomenon in Fully Dentate Mandibles. [PDF]
Gracea RS +4 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
Fit accuracy of complete crowns fabricated by generative artificial intelligence design: a comparative clinical study. [PDF]
Win TT +7 more
europepmc +1 more source
ABSTRACT Purpose/Objectives This study aimed to develop a virtual reality simulation (VRS) program that is based on a scenario, training dental hygiene students in the intraoral bisecting angle technique. We tested the effectiveness of VRS in education using performance confidence (PC), clinical competency (CC) and learning satisfaction (LS).
Bogeun Lee +6 more
wiley +1 more source
Effect of yttrium/lanthanum-doped ultrasonically assisted nano-hydroxyapatite on remineralization and bracket bond strength in artificial enamel lesions. [PDF]
Öztürk T +5 more
europepmc +1 more source
ABSTRACT Purpose This study aims to develop a novel method for objectively assessing dental students' manual dexterity in tooth cavity preparation using 3D technology. Materials and Methods An artificial tooth model compatible with traditional dental simulators was created using 3D scanning and printing technology.
Jong‐Ki Lee +5 more
wiley +1 more source
Fully Automated Tooth Segmentation and Labeling for Both Full- and Partial-Arch Intraoral Scans Using Deep Learning. [PDF]
Cao L +6 more
europepmc +1 more source

