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Naso-intestinal versus gastric tube for enteral nutrition in patients undergoing mechanical ventilation: a systematic review and meta-analysis.
Syst Rev
January 2025
Department of Neurosurgery, Pingxiang People's Hospital, Pingxiang, Jiangxi Province, 337000, China.
Background: A systematic appraisal of the comparative efficacy and safety profiles of naso-intestinal tube versus gastric tube feeding in the context of enteral nutrition for mechanically ventilated (MV) patients is imperative. Such an evaluation is essential to inform clinical practice, ensuring that the chosen method of nutritional support is both optimal and safe for this patient population.
Methods: We executed an exhaustive search across PubMed et al.
Seasonal variability and risk evaluation of emerging organic contaminants in European river: linking in silico and in vitro approaches to prioritize hazardous EOCs.
Environ Res
January 2025
University of St. Thomas, Department of Biology, Mail OWS 390, 2115 Summit Ave, Saint Paul, MN, 55105, USA.
Emerging organic contaminants (EOCs) are a growing concern for aquatic ecosystems, underscoring the need for advanced risk assessment methodologies. This study employed an integrated approach to evaluate the risks associated with 563 EOCs across 13 monitoring sites along the Sava River in Croatia. Sampling was conducted during the winter and spring months, spanning February to May.
View Article and Find Full Text PDFPhantom evaluation of feasibility and applicability of artificial intelligence based pulmonary nodule detection in chest radiographs.
Medicine (Baltimore)
November 2024
Department of Radiology, Kantonsspital Baden, affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Baden, Switzerland.
The aim of our study was to evaluate the specific performance of an artificial intelligence (AI) algorithm for lung nodule detection in chest radiography for a larger number of nodules of different sizes and densities using a standardized phantom approach. A total of 450 nodules with varying density (d1 to d3) and size (3, 5, 8, 10 and 12 mm) were inserted in a Lungman phantom at various locations. Radiographic images with varying projections were acquired and processed using the AI algorithm for nodule detection.
View Article and Find Full Text PDFAI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.
Atherosclerosis
December 2024
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Electronic address:
Background And Aims: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of artificial intelligence-enabled multi-chamber cardiac volumetry from non-contrast CT for long-term risk stratification in asymptomatic subjects without known coronary artery disease.
Methods: Our study included 2022 asymptomatic individuals (55.
Therapeutic Potential of Social Chatbots in Alleviating Loneliness and Social Anxiety: Quasi-Experimental Mixed Methods Study.
J Med Internet Res
January 2025
Graduate School of Health Science and Technology, Ulsan National Institute of Science and Technology, Ulsan, Republic of Korea.
Background: Artificial intelligence (AI) social chatbots represent a major advancement in merging technology with mental health, offering benefits through natural and emotional communication. Unlike task-oriented chatbots, social chatbots build relationships and provide social support, which can positively impact mental health outcomes like loneliness and social anxiety. However, the specific effects and mechanisms through which these chatbots influence mental health remain underexplored.
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