Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: AI is increasingly embedded in health care systems; yet, validated instruments for asses...
Artificial intelligence (AI) has rapidly advanced in breast cancer imaging, demonstrating high diagn...
Arterial wall shear stress (WSS) plays an important role in atherosclerosis, but its assessment is o...
BACKGROUND: Inference-time retrieval augmentation is increasingly used to improve the traceability a...
BACKGROUND: Adult Attention-Deficit/Hyperactivity Disorder (ADHD) is under-recognized in professiona...
This study investigated the potential role of generative artificial intelligence (Gen AI) in creatin...
INTRODUCTION: While an increasing number of artificial intelligence (AI) models are being developed ...
Gender bias in Chinese natural language processing poses significant challenges due to its high degr...
OBJECTIVE: Artificial intelligence (AI) shows promise for improving cancer management, but clinical ...
Synthetic data offer significant potential for cardiology research by enabling data sharing, preserv...
In scientific studies of human-AI interaction dynamics, researchers often need to present participan...
Recent developments in the field of artificial intelligence and machine learning allow the wide appl...
BACKGROUND AND AIMS: ChatGPT, an AI-powered conversational tool, has shown potential to transform he...
BACKGROUND: Machine learning models for Obstructive Sleep Apnea (OSA) diagnosis have largely inherit...
Machine learning can support population-level severe tooth loss (STL; ≥6 missing teeth) risk stratif...
BACKGROUND: Large language models (LLMs) have the potential to provide individualized preventive car...
BACKGROUND: Continuous vital sign monitoring ensures early detection, prevents intensive care unit (...
BACKGROUND: Robotic-assisted total knee arthroplasty (rTKA) is increasingly used because of its surg...
BACKGROUND: Early ACL injury risk identification in athletes is essential. This systematic review ex...
Deep learning models for photoplethysmography (PPG)-based arrhythmia detection in intensive care are...
INTRODUCTION: Plastic-associated chemicals (PACs) are widely detected environmental contaminants, ye...