Latest AI and machine learning research in medical education for healthcare professionals.
No matter how angry, sad, or happy we are, eventually, we will feel different. Studying this ebb and flow of affective experience in daily life provides important insights into psychological functioning and well-being. We have developed a parsimonious formalized model of intraindividual variability in affect (MIVA), resting on the assumption that such affective changes reflect transactions between...
BACKGROUND: Immersive virtual reality (IVR) simulation is increasingly used in nursing education to support experiential learning and the development of non-technical skills. Debriefing is integral to simulation-based education; however, shortages of qualified facilitators and variability in delivery can constrain scalability and quality. Generative artificial intelligence (GenAI) may offer a stan...
INTRODUCTION: As artificial intelligence (AI) becomes more common in healthcare, nursing students need to be both mentally and emotionally ready to us...
BACKGROUND: Traditional clinical skills training faces challenges such as limited standardized patient resources, high costs of simulation equipment, ...
OBJECTIVES: This study aimed to develop and evaluate an AI-assisted teaching platform to enhance diagnostic competency in breast ultrasound. The goal ...
As generative AI becomes a standard fixture in graduate education, the pedagogical challenge has shifted from detection to integration. This article d...
The aim of this study was to investigate the effects of an AI-Narrative-Stratified (ANS) model and traditional anatomy education on academic mastery a...
Smart city implementation increasingly relies on sensing and analytics; however, a persistent operational gap remains between anomaly detection and sa...
BACKGROUND: The rapid integration of artificial intelligence (AI) into healthcare has amplified the need for nurses who can engage with AI-supported s...
Generative AI is rapidly evolving with the potential to change the way we think about and provide continuing professional development (CPD) and facult...
Neuroanatomy has been considered one of the most challenging subjects in medical education, often leading to "neurophobia" and discouraging students f...
BACKGROUND: Healthcare simulation training faces significant barriers due to the "clinician-developer gap," where educators lack programming expertise...
BACKGROUND: For this study, digitalization in medicine was used as an illustrative case to investigate how medical curricula respond to rapidly changi...
Background and Purpose: The rapid expansion of artificial intelligence in health care is reshaping clinical workflows and decision-making, making it i...
BACKGROUND: Modern family planning (FP) is essential for improving the reproductive health of adolescent women, especially in Bangladesh, where early ...
BACKGROUND: Digital technologies - including computer-aided design and manufacturing systems, three-dimensional printing, digital radiography, intraor...
BACKGROUND: Artificial intelligence (AI) is currently widely applied across various fields, especially in the field of education where it holds signif...
BACKGROUND: Preparing psychotherapy trainees for clinical complexity is a persistent educational challenge. Virtual patient (VP) simulations enabled b...
OBJECTIVE: Most hallucination mitigation for large language models (LLMs) operates post-hoc, leaving safety-critical clinical deployment without real-...
BACKGROUND: Surgical residency training faces mounting pressure from expanding subspecialty knowledge requirements alongside compressed learning oppor...