Asymmetry in the distribution of dental specialists in Nigeria has the potential to negatively affect dental education at all levels. There is a dearth in Nigerian studies on the trends of influencing factors on the choice of dental specialty in Nigeria. Past efforts have not resulted in policy change thus necessitating the current study. One hundred and twelve (51 male, 61 female) Nigerian dental graduates aged 23-55 years with a mean age of 35.21 ± 8.21 years completed self-administered questionnaires to assess the impact of 16 influencing factors on their choice of dental specialty. The graduation period of respondents, which ranged between 0 and 30 years was recorded into three decades and cross-tabulated against 16 influencing factors to assess their relative impact on specialty choice. Diagnostic challenge, predictable work hours and patient type appeared to have maintained a consistent popularity while affluence and income, although less popular influences three decades ago are becoming increasingly relevant while length of programme, prestige and level of crowding exerted less influence on choice of specialty than other factors. The potential influence of incentives such as career counselling and grants for overseas training to encourage enrollment in less popular programmes was assessed based on recommendations from previous studies. However, these measures appeared to be unpopular among Nigerian dental graduates. Diagnostic challenges and predictable work hours remain popular as influencing factors on choice of dental specialty among Nigerian dental graduates. Affluence and income, although previously unpopular are now gaining popularity among Nigerian dental graduates.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374960 | PMC |
http://dx.doi.org/10.1111/idj.12019 | DOI Listing |
Clin Exp Dent Res
February 2025
Department of Endodontics, Faculty of Dentistry, University of Oslo, Norway.
Objective: This study aimed to assess the proportions of complicated endodontic cases treated by undergraduate dental students in a University clinic now and in the past.
Material And Methods: Data were obtained from the electronic records and previous publications from the Faculty of Dentistry, University of Oslo, Norway. The operators were dental undergraduate students in their final 2 years of training.
Cureus
January 2025
Pedodontics, Istanbul Turkuaz Dental Clinic, Istanbul, TUR.
Artificial intelligence (AI) has emerged as a transformative tool in education, particularly in specialized fields such as dentistry. This study evaluated the performance of four advanced AI models - ChatGPT-4o (San Francisco, CA: OpenAI), ChatGPT-o1, Gemini 1.5 Pro (Mountain View, CA: Google LLC), and Gemini 2.
View Article and Find Full Text PDFJACC CardioOncol
December 2024
Cardiology Unit, IRCCS Azienda Ospedaliera-Universitaria di Bologna, Bologna, Italy.
Cardiac masses encompass a diverse range of benign and malignant tumors as well as pseudotumors. Accurate histologic identification is essential for guiding appropriate treatment, yet the diagnostic process remains challenging. Although biopsy is traditionally the diagnostic gold standard, its invasive nature and associated risks limit its application.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Department of Endodontics, Faculty of Dentistry, Marmara University, Başıbüyük, Başıbüyük Yolu Marmara Üniversitesi Başıbüyük Sağlık Yerleşkesi 9/3, Başıbüyük - Maltepe, PO Box: 34854, İstanbul, Turkey.
Introduction: The integration of artificial intelligence (AI) technologies in healthcare is revolutionizing the workflows of healthcare professionals, enabling faster and more accurate patient treatment. This study aims to evaluate the accuracy of responses provided by different AI chatbots to questions that dentists might ask regarding regenerative endodontic treatment (RET), a procedure that shows promising biological healing potential.
Methods: A total of 23 questions related to RET procedures were developed based on the American Association of Endodontists (AAE) 2022 guidelines.
J Dent
January 2025
Department of Reconstructive Dentistry and Gerodontology, University of Bern, Bern, Switzerland; Department of Conservative Dentistry and Orofacial Prosthodontics, Complutense University of Madrid, Madrid, Spain; Complutense University of Madrid, Ramon y Cajal Research Institute (IRYCIS). Madrid, Spain. Electronic address:
Objectives: To in-vitro evaluate the feasibility and accuracy (trueness and precision) of various intraoral scanners (IOS) to digitize maxillectomy defect models with exposed zygomatic implants in situ.
Material And Methods: Six partially edentulous and edentulous maxillectomy defect models with 2 zygomatic implants each were obtained. References scans were obatined by using a laboratory scanner (inEos X5; Dentsply Sirona).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!