Latest AI and machine learning research in medical education for healthcare professionals.
OBJECTIVES: To synthesize current educational approaches to AI literacy in oncology nursing, identify key competency domains along with barriers and enablers, and offer clinically oriented recommendations for the safe and effective integration of AI into clinical practice. METHODS: Structured search of MEDLINE via PubMed (2015-2025) using MeSH and free-text terms, complemented with free sources (G...
BACKGROUND: Radiology is at the center of the digital transformation of the healthcare system. As a highly digital field, radiology is well-suited for the early implementation and critical evaluation of innovative technologies, such as artificial intelligence (AI). This review aims to comprehensively and distinctly present the opportunities and challenges of digital transformation in radiology, fo...
BACKGROUND: Cervical spine (c-spine) injuries can lead to significant disability and mortality. Although stabilization is the primary management for s...
The use of heterogeneous networks has gained significant traction for modeling and analyzing complex systems across diverse domains because of their a...
The growth of the digital age has corresponded with decreased operative experience and concern for low readiness for practice among surgical trainees,...
Magnetically guided drug delivery (MGDD) employs magnetic forces acting on magnetically responsive drug delivery systems (DDS) to direct therapeutic a...
BACKGROUND: The rapid evolution of artificial intelligence (AI) is reshaping healthcare, including pharmacy, requiring AI-proficient pharmacy graduate...
The mass attenuation coefficient (MAC) plays a key parameter in computed tomography (CT) imaging and the development of novel contrast agents. In prac...
The European Society of Gastrointestinal Endoscopy (ESGE) has identified a critical need to establish structured training for safe and effective use o...
Surgical education research has become increasingly important as training programs evolve from apprenticeship-based models toward evidence-based, theo...
Chronic idiopathic constipation carries a significant burden on children and their families. Despite existing treatment guidelines, adherence and outc...
PURPOSE: To compare the accuracy, readability and patient-centeredness of responses generated by standard ChatGPT-4o and its retrieval-augmented 'deep...
Visual function is one of the most critical abilities of organisms to perceive the outside world, playing an indispensable role in the interaction bet...
The Accreditation Council for Graduate Medical Education (ACGME) recently conducted their 10-year specialty-specific revision of the colon and rectal ...
Graph Neural Networks (GNNs) have become a powerful tool for modeling complex graph-structured data, achieving remarkable success in various graph min...
The rapid development of large language models (LLMs) has accelerated research into applying artificial intelligence (AI) to domains such as medical q...
INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing education (CE), offering innovative content generat...
BACKGROUND: Pre-registration nursing students need to be appropriately prepared for a healthcare environment that is increasingly utilising artificial...
OBJECTIVES: The efficacy of an MRI-based deep learning algorithm (DLA) for detecting acute ischemic stroke (AIS) was evaluated across readers with div...