Latest AI and machine learning research in medical education for healthcare professionals.
This study explores the network pharmacology (NP) and molecular dynamics (MD) simulation analysis of pleural mesothelioma (PM) related enzymes. Through the investigation of 1253 associated genes, culminating in a protein-protein interaction (PPI) network constructed using the STRING database. Pathway analysis identified critical signaling pathways, including MAPK, PI3K/AKT, and RAS, associated wit...
PURPOSE: This study aims to compare several free large language models (LLMs), identify which provides the most effective feedback, and investigate whether LLM-generated feedback can improve the accuracy and standardization of imaging reports produced by students. METHODS: A randomly selected class (test group, N= 30) was asked to write an imaging report based on each typical teaching case before ...
BACKGROUND: Effective pain management is a vital aspect of quality nursing care, requiring sound knowledge, assessment skills, clinical judgment, and ...
BackgroundWhile machine learning (ML) models are increasingly used to predict outcomes in health care, their practical effect on health care operation...
BACKGROUND: Empirical evidence demonstrating the influence of sex and gender on health has increased dramatically over the last two decades. Yet, the ...
User experience (UX) as both a vocation and a skillset is currently in the center of a wicked knot: emerging technologies such as generative artificia...
BACKGROUND: Advances in artificial intelligence (AI) tools are also necessitating a change in nursing education. AIM: This study evaluated the effect ...
This dataset contains raw and analyzed numerical simulation data, tables, and figures focused on the synergistic effects of nanosecond repetitively pu...
AIM: To explore how first-year nursing students engaged with ChatGPT during an assessment task, and to understand the experiences, challenges, and per...
OBJECTIVES: To synthesize current educational approaches to AI literacy in oncology nursing, identify key competency domains along with barriers and e...
BACKGROUND: Radiology is at the center of the digital transformation of the healthcare system. As a highly digital field, radiology is well-suited for...
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...