ERCPMP: An Endoscopic Image and Video Dataset for Colorectal Polyps Morphology and Pathology

In the recent years, artificial intelligence (AI) and its leading subtypes, machine learning (ML) and deep learning (DL) and their applications are spreading very fast in various aspects such as medicine. Today the most important challenge of developing accurate algorithms for medical prediction, detection, diagnosis, treatment and prognosis is data. ERCPMP is an Endoscopic Image and Video Dataset for Recognition of Colorectal Polyps Morphology and Pathology. This dataset contains demographic, morphological and pathological data, endoscopic images and videos of 191 patients with colorectal polyps. Morphological data is included based on the latest international gastroenterology classification references such as Paris, Pit and JNET classification. Pathological data includes the diagnosis of the polyps including Tubular, Villous, Tubulovillous, Hyperplastic, Serrated, Inflammatory and Adenocarcinoma with Dysplasia Grade & Differentiation. The current version of this dataset is published and available on Elsevier Mendeley Dataverse and since it is under development, the latest version is accessible via: https://databiox.com

Multi-functionalization strategy for environmental monitoring: A metal-organic framework for high capacity Mercury(II) removal and exceptionally sensitive detection of nitroaromatics

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Analyzing central-line associated bloodstream infection prevention bundles in 22 countries: The results of ID-IRI survey

International audienceBACKGROUND: Because central line-associated bloodstream infections (CLABSIs) are a significant complication of central venous access, it is critical to prevent CLABSIs through the use of central line bundles. The purpose of this study was to take a snapshot of central venous access bundles in various countries. METHODS: The participants in intensive care units (ICUs) completed a questionnaire that included information about the health center, infection control procedures, and central line maintenance. The countries were divided into 2 groups: those with a low or low-middle income and those with an upper-middle or high income. RESULTS: Forty-three participants from 22 countries (46 hospitals, 85 ICUs) responded to the survey. Eight (17.4%) hospitals had no surveillance system for CLABSI. Approximately 7.1 % (n = 6) ICUs had no CLABSI bundle. Twenty ICUs (23.5%) had no dedicated checklist. The percentage of using ultrasonography during catheter insertion, transparent semi-permeable dressings, needleless connectors and single-use sterile pre-filled ready to use 0.9% NaCl were significantly higher in countries with higher and middle-higher income (P < .05). CONCLUSIONS: Our study demonstrated that there are significant differences in the central line bundles between low/low-middle income countries and upper-middle/high-income countries. Additional measures should be taken to address inequity in the management of vascular access in resource-limited countries