Latest AI and machine learning research in risk management for healthcare professionals.
Driver drowsiness is one of the leading causes of crashes, injuries, and fatalities on the road. Tra...
Emetophobia is a specific phobia characterized by an intense fear of vomiting, often accompanied by ...
Highly accurate benchmark databases are critical for the development of robust and computationally e...
BACKGROUND: Shortages in mental healthcare lead to long periods of inadequate support for many patie...
BACKGROUND: A routine fast spin-echo (FSE) MRI protocol is widely used to evaluate structural injuri...
INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in...
OBJECTIVES: To investigate the feasibility and image quality of artificial intelligence iterative re...
Large language models are rapidly transitioning from pilot schemes to routine clinical practice. Thi...
PURPOSE: To develop and evaluate short-TR acquisition time-of-flight (STRA-TOF) MR angiography (MRA)...
PURPOSE: To synthesize evidence from systematic reviews on artificial intelligence (AI) applications...
BACKGROUND: AI-enabled personalized treatment planning may improve outcomes by tailoring care, yet i...
INTRODUCTION: This study was conducted to explore the views of pediatric nurses on robot nurses and ...
UNLABELLED: Traditional clinical trial designs such as the isolated two-arm randomized controlled tr...
Artificial intelligence (AI) is rapidly transforming surgical care, offering unprecedented capabilit...
High-resolution Computed Tomography (CT) is the gold standard medical imaging technique for bone ass...
OBJECTIVES: Amyloid-lowering immunotherapies can cause amyloid-related imaging abnormalities (ARIA),...
BACKGROUND: Accurate preoperative evaluation of rectal cancer is essential for staging and treatment...
Schizophrenia being a major psychiatric disorder comprises of dominant neurodevelopmental corroborat...
PURPOSE: To develop and validate a neural network-based Kid's Listening Performance Checklist (KLiP)...
BACKGROUND: Radiology faces an unprecedented workload crisis, creating demand for AI solutions to en...
OBJECTIVES: To systematically review the evidence on the cost-effectiveness of artificial intelligen...