Latest AI and machine learning research in medical education for healthcare professionals.
OBJECTIVES: This study aimed to develop and evaluate an AI-assisted teaching platform to enhance diagnostic competency in breast ultrasound. The goal was to assess whether AI integration improves diagnostic accuracy, learning efficiency, and participant satisfaction within a residency training program. METHODS: We conducted a cohort-based study at our hospital. Twelve junior residents (experimenta...
As generative AI becomes a standard fixture in graduate education, the pedagogical challenge has shifted from detection to integration. This article describes a curriculum intervention developed for Anatomy of Scientific Error, a graduate-level course on scientific error analysis in interdisciplinary research practice and communication at the Johns Hopkins Bloomberg School of Public Health. To inf...
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...
BACKGROUND: Surgical residency training faces mounting pressure from expanding subspecialty knowledge requirements alongside compressed learning oppor...
PURPOSE: The integration of artificial intelligence (AI) into dentistry has the potential to transform dental education, clinical training, and resear...
Artificial Intelligence (AI) is increasingly used in dental education. The present study aimed to examine the current landscape of AI applications in ...
INTRODUCTION: The integration of artificial intelligence (AI) into the medical imaging (MI) curriculum has been advocated by many international profes...
Exact stochastic simulation of continuous-time Markov chains (CTMCs) is essential when discreteness and noise drive system behavior, but the hard cate...
BACKGROUND: Emerging evidence links chronic heat exposure to impaired neurodevelopment, yet research on higher-order cognitive domains remains limited...