Latest AI and machine learning research in risk management for healthcare professionals.
BACKGROUND: Knee osteoarthritis (OA) leads to pain, disability, and reduced quality of life. For advanced stages, knee arthroplasty surgery is the standard treatment, yet dissatisfaction and persistent mobility deficits remain common. Current surgical decision-making processes seldom incorporate objective predictors of outcomes, such as biomechanical data. Advances in computer vision, wearable sen...
Accelerated Single Photon Emission Computed Tomography (SPECT) imaging, achieved by reducing either the number of projection angles or the acquisition time per angle, enhances clinical workflow efficiency but introduces elevated noise. Although deep learning-based methods promises to overcome this limitation, their practical application is hindered by the reliance on large datasets makes deve...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease is highly prevalent in adults with type 2 diabetes, and advanced fibrosis is its ...
Digital twin technology has emerged as a transformative innovation in healthcare, offering virtual replicas of physical entities at patient-level, equ...
OBJECTIVE: To determine the added value of post-hoc convolutional neural network (CNN)-based denoising for low-radiation coronary CT angiography (CCTA...
Artificial intelligence (AI) is now a key player in modern microbiology, as it enables high-resolution analyses of genomic, metagenomic, and clinical ...
Increasing clinical trial protocol complexity, amendments, and challenges around knowledge management create significant burden for trial teams. Struc...
AIMS: To describe nurses' experiences in managing malnutrition in hospitalized adults and providing support along an interprofessional nutritional sta...
BACKGROUND: Risk-of-bias (RoB) assessment is essential for evidence synthesis but remains time-consuming and inherently subjective. Artificial intelli...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in pediatric dentistry for caries detection, risk prediction, anomaly identification,...
Genetic association studies have identified numerous genes harboring protein-disrupting variants in individuals with profound autism, but identifying ...
INTRODUCTION: Angina with no obstructive coronary artery disease (ANOCA) affects millions and is frequently under-recognised because diagnostic pathwa...
High-quality clinical documentation is essential for safe and effective care, yet its production remains time consuming and prone to error. Large lang...
BACKGROUND: Artificial intelligence (AI) is increasingly used in dental imaging for automated interpretation of dental images and as a clinical decisi...
BACKGROUND: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication that can pose numerous adverse health effects on both mothers an...
The high prevalence of periodontitis has imposed a significant global disease burden. Epidemiologic surveys rely on full-mouth periodontal examination...
OBJECTIVES: This study aimed to evaluate the feasibility and accuracy of automated contrast-to-noise ratio (CNR) analysis in chest CT using the open-s...
BACKGROUND: Health care professionals' perceptions of telemedicine, its usability, and the presence of organizational barriers are important determina...
Intraoperative transesophageal echocardiography (TEE) has become a central component of modern cardiac surgery by providing real-time, high-resolution...
INTRODUCTION: Teaching psychiatric semiology faces challenges such as the limited availability of real patients for educational purposes and a shortag...