Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is transforming inflammatory bowel disease (IBD) care, but ...
This study aims to systematically identify the discriminative features between robotic and natural h...
The expanding footprint of human radiation exposure, driven by advances in interventional diagnostic...
INTRODUCTION: The placenta forms a critical barrier to infection through pregnancy, labor and, deliv...
OBJECTIVE: Isolated rapid-eye-movement sleep behavior disorder is a prodromal marker of synucleinopa...
Suicide screening in military primary care settings is often conducted with a small number of self-r...
Accurate epigenomic profiling is essential for understanding chromatin and gene regulation. Cleavage...
PURPOSE: Generative artificial intelligence (AI) is rapidly expanding within medical practice, yet i...
This paper examines the role of generative AI support in enhancing the quality of English-as-a-forei...
The reliability and ethical use of artificial intelligence (AI) in medicine fundamentally depend on ...
BACKGROUND: Artificial Intelligence (AI) is increasingly applied in healthcare and is often linked t...
Large language models (LLMs) are increasingly explored for clinical text summarization from electron...
Large language models (LLMs) are increasingly used in healthcare, yet standardised benchmarks for ev...
This study presents the redesign of a Python programming course for medical students at the Universi...
This study addresses the limitations of Standardized Patients (SPs) in Traditional Korean Medicine (...
Large Language Models (LLMs) have shown remarkable capabilities in medical information extraction an...
OBJECTIVE: To develop an interpretable ensemble machine-learning model to support risk stratificatio...
BACKGROUND: Artificial intelligence (AI) and clinical informatics (CI) are strategic priorities for ...
Active learning promises to provide an optimal training sample selection procedure in the constructi...
BACKGROUND: Deep learning (DL)-based denoising methods have shown promise for reducing radiation dos...
BACKGROUND: Mobile learning (mLearning) is widely used in medical education. Previous research has f...