Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Mar 24, 2025
: Implementation of telemental health care in emergency departments (EDs) in the United States (U.S.) has been increasing. Artificial intelligence (AI) can augment traditional qualitative research methods; little is known about its efficiency and acc...
Academic medicine : journal of the Association of American Medical Colleges
Mar 24, 2025
Artificial intelligence (AI) provides an opportunity to streamline tasks within academic medicine. Generative AI (genAI) models, specifically, have the capacity to generate new written content, follow detailed instructions for product improvement, an...
Identifying potential connections between microbe-drug pairs play an important role in drug discovery and clinical treatment. Techniques like graph neural networks effectively derive accurate node representations from sparse topologies,however, they ...
Critical care nursing clinics of North America
Mar 24, 2025
This article examines the current technologies used with indwelling urinary catheters to monitor potential catheter-associated urinary tract infections (CAUTIs) in the intensive care unit. Advancements in medical internet-of-things, artificial intell...
PURPOSE OF REVIEW: Cardiovascular monitoring is essential for managing hemodynamic instability and preventing complications in critically ill patients. Conventional monitoring approaches are limited by predefined thresholds, dependence on clinician e...
For decades, electron microscopy has been the primary method to visualize ultrastructural details of the kidney, including podocyte foot processes and the slit diaphragm. Despite its status as the gold standard, electron microscopy has significant li...
The International journal of eating disorders
Mar 24, 2025
Artificial intelligence (AI) has the potential to revolutionize mental health care, including for eating disorders, but there are still a number of concerns focused on ethics, governance, and regulation. As the authors found in their preliminary surv...
This study explores using dual-modal sensory data and machine learning to objectively identify Attention-Deficit/Hyperactivity Disorder (ADHD), a neurodevelopmental disorder traditionally diagnosed through subjective clinical evaluations. Six machine...
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Mar 24, 2025
OBJECTIVE: This study investigates the neurophysiological outcomes of combining robot-assisted gait training (RAGT) with active transcranial direct current stimulation (tDCS) on individuals with spinal cord injury (SCI).
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