The significant contribution of dental professionals to the management of selected adult obstructive sleep apnea (OSA) cases is understood. Among children, it has also been suggested that dental professionals may also help screen and manage this morbidity in selected cases. It has also been noted that our understanding of pediatric OSA lags significantly behind adult OSA. During the screening process for potential pediatric OSA cases, dental professionals may be quite helpful as specific craniofacial abnormalities have been previously associated with pediatric OSA, including Class II malocclusion, vertical facial growth and maxillary transversal deficiency. As dental professionals assess children more frequently than physicians, they can help screen sleep-disordered breathing signs and symptoms using validated questionnaires. In more advanced cases, orthodontists may be leading contributors to the management of selected cases where a craniofacial involvement is suspected. Rapid maxillary expansion and mandibular or maxillary anterior repositioning devices have been proposed as managing alternatives. So far, there is no substantial evidence if these approaches can be adopted to treat OSA fully or if the reported OSA signs and symptoms improvements observed in a selected group of patients are stable long-term. Nevertheless, dentists and orthodontists' integration into a transdisciplinary team should be encouraged to play a significant role. This review discusses dentists or orthodontists' potential contribution to screen and manage selective pediatric OSA patients as part of a transdisciplinary team.
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http://dx.doi.org/10.1002/ppul.25291 | DOI Listing |
Dent Traumatol
January 2025
Department of Pediatric Dentistry, Dentistry Faculty, Bolu Abant İzzet Baysal University, Bolu, Turkey.
Background/aim: The use of AI-driven chatbots for accessing medical information is increasingly popular among educators and students. This study aims to assess two different ChatGPT models-ChatGPT 3.5 and ChatGPT 4.
View Article and Find Full Text PDFInt J Implant Dent
January 2025
Department of Oral Health, Faculty of Oral Health Science, Kristianstad University, 291 88, Kristianstad, Sweden.
Purpose: The study assessed the clinical outcomes following treatment of peri-implant mucositis using Er:YAG laser or an ultrasonic device over six months. Patients' experience of pain, aesthetics, and Quality of life were further assessed.
Methods: One dental implant, per included patient, diagnosed with peri-implant mucositis underwent treatment with an Er:YAG laser (test) or an ultrasonic scaler (control) randomly.
Dent J (Basel)
December 2024
Department of Prosthodontics, Indiana University School of Dentistry, Indianapolis, IN 46202, USA.
This review aims to explore the applications of artificial intelligence (AI) in prosthodontics and implant dentistry, focusing on its performance outcomes and associated ethical concerns. Following the PRISMA guidelines, a search was conducted across databases such as PubMed, Medline, Web of Science, and Scopus. Studies published between January 2022 and May 2024, in English, were considered.
View Article and Find Full Text PDFPublic Health Pract (Oxf)
June 2025
Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
The COVID-19 pandemic has intensified workplace violence (WPV) against healthcare workers, exposing them to unprecedented levels of aggression. Incidents of verbal abuse, threats, and physical assaults have increased, especially in high-stress environments such as emergency departments and intensive care units, exacerbating psychological challenges for healthcare staff. This commentary explores the profound impact of WPV on healthcare workers' mental health and job satisfaction.
View Article and Find Full Text PDFJMIR Med Educ
January 2025
Digital Society Initiative, University of Zurich, Zurich, Switzerland.
Background: The increased use of digital data in health research demands interdisciplinary collaborations to address its methodological complexities and challenges. This often entails merging the linear deductive approach of health research with the explorative iterative approach of data science. However, there is a lack of structured teaching courses and guidance on how to effectively and constructively bridge different disciplines and research approaches.
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