Latest AI and machine learning research in risk management for healthcare professionals.
BACKGROUND: Early temperament has been shown to predict socioemotional outcomes, but its neural correlates are not yet fully understood. In the current study, we investigated the relationship between early temperament and neuronal network functional connectivity (FC), and how these factors contribute to the risk of psychopathology. METHODS: Using a longitudinal cohort followed from infancy to age ...
BACKGROUND: A 24-hour urine collection is central to the metabolic evaluation and prevention of nephrolithiasis. Despite its widespread use, methodological inconsistencies in data reporting and analysis limit the reliability, reproducibility, and clinical utility of findings. We aim to review and evaluate how 24-hour urine parameters are reported, analyzed, and interpreted in nephrolithiasis resea...
Liver tumor diagnosis relies heavily on imaging, and the liver imaging reporting and data system (LI-RADS) provides a structured framework for evaluat...
BACKGROUND: Clinical documentation is essential for safe, high-quality care but has become increasingly complex, contributing to clinician burnout. La...
BACKGROUND: There is increasing global concern about the harms associated with problematic usage of the internet (PUI) affecting young people. Various...
BACKGROUND: Delirium is a common complication following cardiac surgery and significantly affects patient prognosis and quality of life. Recently, the...
OBJECTIVES: This study aimed to explore pediatric oncology nurses' perspectives on the integration of artificial intelligence (AI) into pediatric onco...
PURPOSE: Expansion of diffusion MRI (dMRI) both into the realm of strong gradients and into accessible imaging with portable low-field devices brings ...
Echocardiography underpins the diagnosis and management of cardiovascular disease, yet measurement variability can influence treatment decisions. Arti...
The rapid integration of Artificial Intelligence (AI) into healthcare promises significant benefits but also raises unprecedented ethical, clinical, a...
PURPOSE: To evaluate whether deep learning reconstruction (DLR) can reduce the radiation dose in routine clinical computed tomography (CT) scans compa...
This article reviews contemporary issues in telepsychiatry and telepsychotherapy. The authors examine ethics within a larger social context, particula...
PURPOSE: Computed tomography (CT) scans are vital for radiotherapy planning, providing essential data for dose calculations. This study retrospectivel...
PURPOSE: To implement and evaluate the feasibility of a Pilot Tone (PT)-based prospective gating and tracking technique, which uses a long short-term ...
BACKGROUND: The integration of artificial intelligence (AI) in orthopaedics and sports medicine (OSM) has transformed clinical practice and scientific...
Artificial intelligence (AI) is rapidly transforming scientific disciplines, yet its adoption in food science remains fragmented and often constrained...
BACKGROUND: The quality assessment of personalized exercise prescriptions is currently hampered by the subjectivity and inefficiency of traditional ra...
INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing education (CE), offering innovative content generat...
The histopathological evaluation of biopsies by human experts is a gold standard in clinical disease diagnosis. While recent artificial intelligence-b...
OBJECTIVES: The objective of this study was to evaluate the use of a single proton density (PD) new Dixon (nDixon) three-dimensional turbo spin echo (...