Latest AI and machine learning research in medical education for healthcare professionals.
BackgroundWhile machine learning (ML) models are increasingly used to predict outcomes in health car...
BACKGROUND: Empirical evidence demonstrating the influence of sex and gender on health has increased...
BACKGROUND: Advances in artificial intelligence (AI) tools are also necessitating a change in nursin...
AIM: To explore how first-year nursing students engaged with ChatGPT during an assessment task, and ...
OBJECTIVES: To synthesize current educational approaches to AI literacy in oncology nursing, identif...
BACKGROUND: Radiology is at the center of the digital transformation of the healthcare system. As a ...
The use of heterogeneous networks has gained significant traction for modeling and analyzing complex...
The growth of the digital age has corresponded with decreased operative experience and concern for l...
Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive d...
BACKGROUND: The rapid evolution of artificial intelligence (AI) is reshaping healthcare, including p...
The mass attenuation coefficient (MAC) plays a key parameter in computed tomography (CT) imaging and...
The European Society of Gastrointestinal Endoscopy (ESGE) has identified a critical need to establis...
Surgical education research has become increasingly important as training programs evolve from appre...
Chronic idiopathic constipation carries a significant burden on children and their families. Despite...
The Accreditation Council for Graduate Medical Education (ACGME) recently conducted their 10-year sp...
Graph Neural Networks (GNNs) have become a powerful tool for modeling complex graph-structured data,...
The rapid development of large language models (LLMs) has accelerated research into applying artific...
INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing e...
BACKGROUND: Pre-registration nursing students need to be appropriately prepared for a healthcare env...
OBJECTIVES: The efficacy of an MRI-based deep learning algorithm (DLA) for detecting acute ischemic ...
In the rapidly advancing landscape of surgical education, the traditional apprenticeship model is be...