Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
This paper considers noncooperative games operating under adversarial conditions, including both exploratory and causative attacks, where players' dynamics are subject to private inequality constraints and external disturbances. To address this challenge, we propose an adaptive distributed neurodynamic approach with continuous-time switching communication. Crucially, and in contrast to existing me...
PURPOSE: The aim of this study was to develop and evaluate a natural language processing (NLP) system that automatically detects and classifies discrepancies between preliminary and final radiology reports, with the goal of enhancing resident education through structured feedback. METHODS: A total of 889 deidentified lumbar spine MRI reports (768 with revisions) from December 2023 to March 2024 we...
INTRODUCTION: The CRISPR/Cas system has emerged as a highly versatile platform for diagnosing infectious diseases, particularly viral pathogens. Human...
CONTEXT: Effective communication of complex medical information is critical for individuals with spinal cord injury (SCI) and their families, but this...
Alzheimer's disease (AD) is a progressive neurodegenerative disease of the nervous system, which has become an important public health issue attractin...
Diabetic retinopathy (DR), the most prevalent microvascular complication of diabetes mellitus, is the leading cause of irreversible vision loss in the...
Population aging worldwide has intensified the need to understand how mental health in later life is shaped by both cultural norms and structural syst...
The integration of robots into healthcare is an advancing field, with potential to enhance patient care, for example in medication counselling. Peplau...
PURPOSE: Ambiguous or incomplete documentation is a recurrent bottleneck in radiation oncology workflows, leading to inefficiencies in communication a...
BACKGROUND: Advances in artificial intelligence have brought renewed attention to tools that can work with the large amount of written information gen...
Consumers increasingly encounter sustainability messages not only through traditional advertising, but through interactive, AI-mediated interfaces on ...
To provide a narrative synthesis of the performance paradox in large language model (LLM) applications for spine surgery, examining the disparity betw...
Chronic kidney disease (CKD), defined per the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines by persistent (≥3 months) abnormalities of ...
INTRODUCTION: Accurate and timely documentation during surgical ward rounds is critical for ensuring patient safety, effective multidisciplinary commu...
BACKGROUND: Postoperative delirium is an acute, fluctuating neurocognitive syndrome. It is among the most common perioperative complications in older ...
There is simultaneously a global shortage of mental health professionals and a rising demand for mental health services. Nurses provide the largest sh...
BACKGROUND: Central venous catheters for drug delivery introduce catheter-related thrombosis (CRT) and influence the survival of cancer patients. The ...
BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized primarily by synovial inflammation, often resulting in progressiv...
Osteoporosis (OP) is a metabolic bone disease characterized by low bone mineral density (BMD), and its pathogenesis involves endoplasmic reticulum (ER...
BACKGROUND: Although numerous studies have examined risk factors and prevention strategies for running-related injuries, few have rigorously tested pr...