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Enteral Nutrition Practices and Complications in ICU Settings: A Cross-Sectional Study of Healthcare Professionals' Perspectives in Saudi Arabia.
J Multidiscip Healthc
January 2025
Clinical Nutrition Department, College of Applied Medical Sciences, Taibah University, Madinah, Kingdom of Saudi Arabia.
Background: Enteral Nutrition (EN) is the preferred method for providing nutritional support in intensive care units (ICUs) compared to parenteral nutrition (PN) due to its physiological advantages, safety profile, and cost-effectiveness compared to parenteral nutrition (PN). However, evidence suggests that EN might be associated with some complications. In this study, we aimed to identify the most common EN complications, as reported by healthcare professionals (HCPs) working in adult and paediatric ICUs (PICUs) in Saudi Arabia.
View Article and Find Full Text PDFAn umbrella review and meta-analysis of 87 meta-analyses examining healthcare workers' mental health during the COVID-19 pandemic.
J Affect Disord
January 2025
School of Kinesiology, University of British Columbia, Vancouver, BC, Canada. Electronic address:
During the COVID-19 pandemic, healthcare workers (HCWs) experienced several changes in their work (e.g., longer hours, new policies) that affected their mental health.
View Article and Find Full Text PDFModel-Assisted Spleen Contouring for Assessing Splenomegaly in Myelofibrosis: A Fast and Reproducible Approach to Evaluate Progression and Treatment Response.
J Clin Med
January 2025
Department of Radiology, Weill Cornell Medicine, New York, NY 10022, USA.
: Accurate and reproducible spleen volume measurements are essential for assessing treatment response and disease progression in myelofibrosis. This study evaluates techniques for measuring spleen volume on abdominal MRI. : In 20 patients with bone marrow biopsy-proven myelofibrosis, 5 observers independently measured spleen volume on 3 abdominal MRI pulse sequences, 3D-spoiled gradient echo T1, axial single-shot fast spin echo (SSFSE) T2, and coronal SSFSE T2, using ellipsoidal approximation, manual contouring, and 3D nnU-Net model-assisted contouring comparing coefficients of variation.
View Article and Find Full Text PDFAccuracy of Artificial Intelligence Based Chatbots in Analyzing Orthopedic Pathologies: An Experimental Multi-Observer Analysis.
Diagnostics (Basel)
January 2025
Center for Musculoskeletal Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany.
The rapid development of artificial intelligence (AI) is impacting the medical sector by offering new possibilities for faster and more accurate diagnoses. Symptom checker apps show potential for supporting patient decision-making in this regard. Whether the AI-based decision-making of symptom checker apps shows better performance in diagnostic accuracy and urgency assessment compared to physicians remains unclear.
View Article and Find Full Text PDFVirtual patients using large language models: Scalable, contextualized simulation of clinician-patient dialog with feedback.
J Med Internet Res
January 2025
Division of General Internal Medicine, Mayo Clinic College of Medicine and Science, 200 First St SW, Rochester, US.
Background: Virtual patients (VPs) are computer screen-based simulations of patient-clinician encounters. VP use is limited by cost and low scalability.
Objective: Show proof-of-concept that VPs powered by large language models (LLMs) generate authentic dialogs, accurate representations of patient preferences, and personalized feedback on clinical performance; and explore LLMs for rating dialog and feedback quality.
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