Background and objective Choosing a medical specialty is one of the most critical career decisions medical students and interns make. However, little is known about the factors these graduates consider when choosing their specialty. Our study assessed factors that medical students and interns consider when determining their specialty. Methods This is a cross-sectional survey-based study, conducted from November to December 2022. We utilized a previously published questionnaire for 1074 participants, including 837 medical students and 237 interns from Saudi Arabian universities. Results The majority of female participants (80.4%), compared with only 19.6% of male participants, considered interest in specific procedures and techniques typical of the specialty an important factor in choosing a specialty (p = 0.036). Dissertation research experience was an important factor for 83.5% of female participants and 16.5% of male participants (p = 0.024). Additionally, good quality teaching within the study program framework was important for 81.2% of female participants and 18.8% of male participants (p = 0.033), suggesting that male and female participants viewed the importance of good quality teaching differently. Female participants accounted for 80% of those who considered the overseas experience a factor in their specialty choice. Also, 74.4% of female and 25.6% of male participants considered friends, relatives, or other connections in the healthcare field a factor that affects their choice. Furthermore, 79.6% of female and 20.4% of male participants reported having good experiences with physician role models as an impactful factor in their specialty choice. Conclusion Female participants were most interested in obstetrics and gynecology (12.1%,), internal medicine (11.8%), and family medicine (10.8%). Male participants, on the other hand, showed more interest in family medicine (12.7%,), internal medicine (11.0%), and emergency medicine (10.1%). Medical schools and healthcare institutions must provide students and interns with enough information and resources to help them explore different specialties and make well-informed decisions about their careers.
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http://dx.doi.org/10.7759/cureus.43018 | DOI Listing |
Sci Rep
December 2024
Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
Warfarin is the most widely used oral anticoagulant in clinical practice. The cytochrome P450 2C9 (CYP2C9), vitamin K epoxide reductase complex 1 (VKORC1), and cytochrome P450 4F2 (CYP4F2) genotypes are associated with warfarin dose requirements in China. Accurate genotyping is vital for obtaining reliable genotype-guided warfarin dosing information.
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
State Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, 110016, China.
The triglyceride to high density lipoprotein cholesterol (TG/HDL-C) ratio has been consistently linked with the risk of coronary heart disease (CHD). Nevertheless, there is a paucity of studies focusing on acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) or experiencing bleeding events. The study encompassed 17,643 ACS participants who underwent PCI.
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December 2024
Harman International, HarmanX Neurosense, 30001 Cabot Dr, Novi, MI, 48377, USA.
Cognitive load (CL) is one of the leading factors moderating states and performance among drivers. Heavily increased CL may contribute to the development of mental stress. Averaged heart rate (HR) and heart rate variability (HRV) indices are shown to reflect CL levels in different tasks.
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December 2024
Creative Robotics Lab, UNSW, Sydney, 2021, Australia.
Unlike the conventional, embodied, and embrained whole-body movements in the sagittal forward and vertical axes, movements in the lateral/transversal axis cannot be unequivocally grounded, embodied, or embrained. When considering motor imagery for left and right directions, it is assumed that participants have underdeveloped representations due to a lack of familiarity with moving along the lateral axis. In the current study, a 32 electroencephalography (EEG) system was used to identify the oscillatory neural signature linked with lateral axis motor imagery.
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