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Effect of Artificial Intelligence Helpfulness and Uncertainty on Cognitive Interactions with Pharmacists: Randomized Controlled Trial.
J Med Internet Res
January 2025
Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI, United States.
Background: Clinical decision support systems leveraging artificial intelligence (AI) are increasingly integrated into health care practices, including pharmacy medication verification. Communicating uncertainty in an AI prediction is viewed as an important mechanism for boosting human collaboration and trust. Yet, little is known about the effects on human cognition as a result of interacting with such types of AI advice.
View Article and Find Full Text PDFAn mHealth Intervention With Financial Incentives to Promote Smoking Cessation and Physical Activity Among Black Adults: Protocol for a Feasibility Randomized Controlled Trial.
JMIR Res Protoc
January 2025
University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Background: Black adults in the United States experience disproportionately high rates of tobacco- and obesity-related diseases, driven in part by disparities in smoking cessation and physical activity. Smartphone-based interventions with financial incentives offer a scalable solution to address these health disparities.
Objective: This study aims to assess the feasibility and preliminary efficacy of a mobile health intervention that provides financial incentives for smoking cessation and physical activity among Black adults.
Proteomic Analyses in COVID-19-Associated Secondary Hemophagocytic Lymphohistiocytosis.
Crit Care Explor
February 2025
Center for Fundamental Immunology, Benaroya Research Institute, Seattle, WA.
Context: COVID-19 has been associated with features of a cytokine storm syndrome with some patients sharing features with the hyperinflammatory disorder, secondary hemophagocytic lymphohistiocytosis (sHLH).
Hypothesis: We hypothesized that proteins associated with sHLH from other causes will be associated with COVID-sHLH and that subjects with fatal COVID-sHLH would have defects in immune-related pathways.
Methods And Models: We identified two cohorts of adult patients presenting with COVID-19 at two tertiary care hospitals in Seattle, Washington in 2020 and 2021.
Mobile Applications for Longitudinal Data Collection: Web-based Survey Study of Former Intensive Care Patients.
J Med Syst
January 2025
Department of Intensive Care Medicine, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
Purpose: Mobile health plays an important role in providing individualized information about the health status of patients. Limited information exists on intensive care unit (ICU) patients with the risk of suffering from the post-intensive care syndrome (PICS), summarizing long-term physical, mental and cognitive impairment. This web-based survey study aims to identify specific needs of former ICU patients for utilizing a newly developed, so called Post-Intensive Care Outcome Surveillance (PICOS) app to collect relevant PICS-related parameters.
View Article and Find Full Text PDFLifestyle recommendations and pelvic floor muscle training with Knack maneuver for post-prostatectomy urinary incontinence: a randomized controlled trial.
Support Care Cancer
January 2025
Faculty of Physical Therapy and Rehabilitation, Department of Fundamental Physiotherapy and Rehabilitation, Hacettepe University, Ankara, Turkey.
Purpose: The aim of this study is to investigate the additional effects of the Knack maneuver and comprehensive lifestyle recommendations to pelvic floor muscle training (PFMT) in individuals with post-prostatectomy urinary incontinence (PP-UI).
Methods: Seventy-one individuals with symptom of PP-UI were included. Individuals were randomly assigned to study groups (Group I: PFMT + Knack + Comprehensive Lifestyle Recommendations, Group II: PFMT + Knack, Group III: PFMT alone).
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