Results 221 to 230 of about 76,413 (301)
Optimizing orthodontic results with low-intensity pulsed ultrasound: A literature review. [PDF]
Najarzadegan F.
europepmc +1 more source
Ready or Not? Oral Health Therapists' Preparedness for Dental Practice in Aotearoa New Zealand
ABSTRACT Introduction The Dental Council of New Zealand requires oral health therapists (OHTs) to meet competency in seven domains to be considered safe to practise clinically in Aotearoa New Zealand (NZ). The aim of this study was to explore OHT graduates' preparedness for clinical practice.
Jacqui Smith +2 more
wiley +1 more source
Haptic technology in orthodontics: a systematic review and meta-analysis. [PDF]
Alam MK +4 more
europepmc +1 more source
Orthodontics: Orthodontics vs orthodontiya [PDF]
openaire +1 more source
ABSTRACT Introduction Cleft lip and/or palate (CL/P) is a common congenital craniofacial anomaly, affecting approximately 1 in 700 births. Dental specialists form a core part of the cleft service, yet undergraduate dental education on CL/P across dental schools in the United Kingdom (UK) has not previously been described at a national level.
Joshua Kennedy, Martin Ashley
wiley +1 more source
Validation of a digital tool for Moyers mixed dentition analysis: agreement and efficiency compared with the manual method. [PDF]
Rodrigues MVB +4 more
europepmc +1 more source
ABSTRACT Objectives This study aimed to evaluate the knowledge levels of dental students and graduate dentists regarding orthodontic emergencies and to identify factors independently associated with knowledge. Methods This cross‐sectional descriptive survey included fourth‐ and fifth‐year dental students and graduate dentists from dental schools across
Kübra Arslan Çarpar, Tuğba Yılmaz
wiley +1 more source
Correction: Bignotti et al. Class II Malocclusion Correction Using "Distalizing Bar Appliances" and Clear Aligners: A Case Series and Clinical Technique. <i>Dent. J.</i> 2026, <i>14</i>, 334. [PDF]
Bignotti D +5 more
europepmc +1 more source
ABSTRACT Background Large language models (LLMs), including ChatGPT, Gemini and DeepSeek, are increasingly explored as supportive tools in health professions education. However, their educational utility across different knowledge domains and question formats, particularly those involving visual content, remains insufficiently understood.
Sedef Ayse Tasyapan, Didem Özer
wiley +1 more source

