AIMC Topic: Curriculum
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Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine: a study of prospective physicians in Canada.
Medical education online
Jan 31, 2025
BACKGROUND: The practice of evidence-based medicine (EBM) has become pivotal in enhancing medical care and patient outcomes. With the diffusion of innovation in healthcare organizations, EBM can be expected to depend on medical professionals' compete...
Assessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia.
BMC medical education
Jan 30, 2025
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 educat...
Applications of Artificial Intelligence for Nonpsychomotor Skills Training in Health Professions Education: A Scoping Review.
Academic medicine : journal of the Association of American Medical Colleges
Jan 28, 2025
PURPOSE: This study explores uses of artificial intelligence (AI) in health professions education for nonpsychomotor skills training at undergraduate, postgraduate, and continuing health professions education levels for education program development,...
Claude, ChatGPT, Copilot, and Gemini performance versus students in different topics of neuroscience.
Advances in physiology education
Jan 17, 2025
Despite extensive studies on large language models and their capability to respond to questions from various licensed exams, there has been limited focus on employing chatbots for specific subjects within the medical curriculum, specifically medical ...
The ChatGPT Fact-Check: exploiting the limitations of generative AI to develop evidence-based reasoning skills in college science courses.
Advances in physiology education
Jan 17, 2025
Generative large language models (LLMs) like ChatGPT can quickly produce informative essays on various topics. However, the information generated cannot be fully trusted, as artificial intelligence (AI) can make factual mistakes. This poses challenge...
Integrating generative artificial intelligence in a writing intensive course for undergraduate nursing students.
Journal of professional nursing : official journal of the American Association of Colleges of Nursing
Jan 15, 2025
While generative artificial intelligence (AI) has been around for many years, it has only recently become available for use by the public. This powerful resource has changed the landscape for higher education and many instructors fear the negative ef...
Exploring artificial intelligence literacy and the use of ChatGPT and copilot in instruction on nursing academic report writing.
Nurse education today
Jan 14, 2025
BACKGROUND: Nursing education increasingly emphasizes academic writing and communication, critical for delivering quality patient care and professional advancement. Rapidly emerging artificial intelligence (AI) tools such as ChatGPT and Copilot are t...
Awareness and Attitude Toward Artificial Intelligence Among Medical Students and Pathology Trainees: Survey Study.
JMIR medical education
Jan 10, 2025
BACKGROUND: Artificial intelligence (AI) is set to shape the future of medical practice. The perspective and understanding of medical students are critical for guiding the development of educational curricula and training.
Transforming undergraduate dental education: the impact of artificial intelligence.
British dental journal
Jan 10, 2025
Artificial intelligence (AI) is a rapidly evolving area, having had a transformative effect within some areas of medicine and dentistry. In dentistry, AI systems are contributing to clinical decision-making, diagnostics and treatment planning. Ongoin...
Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI-Based Mixed Methods Study.
JMIR medical education
Jan 6, 2025
BACKGROUND: Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.
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