Objective: To investigate adoption and integration of technological aids during endodontic treatment and where dental practitioners (DPs) learnt to use this technology.
Materials And Methods: An electronic questionnaire was distributed to all 459 dentists who graduated from University of Bergen between 2008 and 2018. The respondents were divided into two cohorts, older graduates (2008-2013) and newer graduates(2014-2018).
Results: A total of 314(68.4%) DPs answered the questionnaire. Magnification in the form of dental operating microscopes (DOM) and dental loupes was used by 180 (59.6%), electronic apex locators (EAL) by 271(89.7%) and motor-driven files by 281 (93.4%) DPs. The most frequent response, as to where they learnt to use them was: during undergraduate dental (UG) education. Significantly more newer graduates (90.7%) performed instrumentation based on what they learnt during UG education ( < .001). Older graduates based their instrumentation method equally on what they learnt during UG education (51.9%) and continuing dental education(42.6%). Rubber dam was used during all treatment procedures by 93% of the DPs.
Conclusions: UG education is a communication channel with long-lasting importance for adoption and integration of technology by DPs. Exposure to innovations (awareness) during UG education is adequate for integration of technology. Continuing dental education is as valuable as UG education for adoption of technology for graduates.
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http://dx.doi.org/10.1080/00016357.2022.2071986 | DOI Listing |
Health Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFExpert Rev Endocrinol Metab
January 2025
Faculty of Medicine, University of Cyberjaya, Cyberjaya, Malaysia.
Background: The rapid rise of non-communicable diseases, particularly type 2 diabetes mellitus (T2DM), poses a significant global public health challenge, with South Asia experiencing an increasingly severe burden. This study aimed to analyse historical trends of T2DM across South Asia from 1990 to 2021 and forecast incidence through 2031.
Research Design And Methods: We carried out analysis based on the data from the 2021 Global burden of disease study.
Oper Dent
January 2025
*Kraig S. Vandewalle, DDS, MS, Col (ret), USAF, DC, Air Force Consultant in Dental Research Advanced Education in General Dentistry Residency, AF Postgraduate Dental School, Joint Base San Antonio - Lackland, TX, USA; Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Objective: The purpose of this study was to compare the optical, mechanical, and biological properties of two new, inexpensive lithium disilicate (LS2) materials (Lodden (LOD), LD Medical Technology; and BeautyZir (BZ), BeautyZir Technology) to a clinically established LS2 material (IPS e.max CAD (EMAX), Ivoclar Vivadent).
Methods And Materials: The optical properties of the translucency parameter (TP) and opalescence parameter (OP) were obtained with a dental spectrophotometer.
J Dent Educ
January 2025
Department of Prosthodontics, Martin Luther University Halle-Wittenberg, Halle, Germany.
Diagn Pathol
January 2025
Cell Culture Laboratory, School of Dentistry, Federal University of Para, Rua Augusto Correa, 01 Guama, Belem, PA, 66075110, Brazil.
Background: Considering the significant participation of the microenvironment in the local aggressiveness of odontogenic keratocysts, this study aims to evaluate the expression of ADAMTS-1 and its substrates, versican, aggrecan and brevican in this locally invasive odontogenic cyst.
Methods: Immunohistochemistry and polymerase chain reaction (PCR) were conducted on 30 cases of odontogenic keratocysts (OKCs) and 20 dental follicles (DFs).
Results: The immunohistochemical expression of these proteins was predominantly cytoplasmic and granular across all samples.
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