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http://dx.doi.org/10.2460/javma.23.11.0623 | DOI Listing |
Neurol Res Pract
January 2025
Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg (JMU), Haus D7, Josef-Schneider-Straße 2, 97080, Würzburg, Germany.
Background: Comprehensive clinical data regarding factors influencing the individual disease course of patients with movement disorders treated with deep brain stimulation might help to better understand disease progression and to develop individualized treatment approaches.
Methods: The clinical core data set was developed by a multidisciplinary working group within the German transregional collaborative research network ReTune. The development followed standardized methodology comprising review of available evidence, a consensus process and performance of the first phase of the study.
Biol Direct
January 2025
National Key Laboratory for Innovation and Transformation of Luobing Theory; The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Jinan, China.
Background: Carotid atherosclerotic plaque is the primary cause of cardiovascular and cerebrovascular diseases. It is closely related to oxidative stress and immune inflammation. This bioinformatic study was conducted to identify key oxidative stress-related genes and key immune cell infiltration involved in the formation, progression, and stabilization of plaques and investigate the relationship between them.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical education is fully preparing trainees to adapt to potential changes from AI technology in clinical practice remains unanswered, and the influence of AI on medical students' career preferences remains unclear. Understanding the gap between students' interest in and knowledge of AI may help inform the medical curriculum structure.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Institute of Nursing and Health Promotion, Oslo Metropolitan University, Oslo, Norway.
Background: The digital shift in higher education is moving from teacher-focused models to active learning with digital technologies, including the integration of game-based learning strategies. We aim to identify, assess, and summarize the findings of evidence and determine the effectiveness of game-thinking on learning outcomes in nursing education.
Methods: A comprehensive search for relevant literature was conducted between April and May 2022 Seven databases ERIC, Scopus, ProQuest Education Source, MEDLINE, CINAHL, Web of Science, and Embase were utilized to locate original, peer-reviewed papers published in English.
BMC Med Educ
January 2025
Department of Physiology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Background: The doctor-patient relationship is essential for effective patient care, yet medical education often neglects to nurture the quality such as empathy during the initial years of training. Doctor-patient relationship is one of the modules taught in first year as part of mandatory AETCOM (Attitude, Ethics, and Communication) course in the undergraduate Indian medical curriculum. Hermeneutics, a method of interpretation, can play a vital role in introducing observational and reflective thinking skills.
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