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9 articles for “CT scan”
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Study to evaluate the effectiveness of pre-procedural teaching in reducing procedural anxiety among patients undergoing computed tomography (CT) scan in a selected hospital at mangalore
Abstract: Background: Anxiety is as an emotional state of fear, tension, panic, or anticipation of an unpleasant experience. Patients who experience a psychological reaction during a scan may choose to stop the procedure entirely, decline to undergo CT scans in the future, and potentially affect other patients who may need a medical CT scan later. Objectives: A study to evaluate the effectiveness of pre-procedural teaching in reducing procedural anxiety among patients …
Published in International Journal of Medical Surgical Nursing · Vol. 8, Issue 1, 2025 · pp. 59–66 Read article
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Image Enhancement and Lung Cancer Detection Using Anisotropic Diffusion Filter
Abstract: The leading cause of cancer-related deaths globally is lung cancer. According to the Global Cancer Statistics lung cancer is the leading cause of cancer-related fatalities with 1.8 million deaths and 2.1 million new cases. Early detection of a tiny tumor can stop cancer from spreading and greatly enhance prognosis and survival rates. Consequently, the creation of a sophisticated computer-aided diagnosis system (CADS) may be advantageous for the early therapy of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article
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Detecting COVID_19 in X-ray images using artificial neural network
Abstract: In this paper, we propose a method for detecting COVID-19, which is most important for now days in lowering mortality rates. COVID-19 had a rapid impact on our daily lives, businesses, and global trade and transportation. Chest CT scans and CT x-rays reveal particular radiographic abnormalities in people with COVID-19 by means of faster and more efficient representation of the patient's lung that enables for the detection of viral phenomena. …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 32–38 Read article
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A Comprehensive Review of ARDS: From Pathogenesis to Innovative Treatment Modalities
Abstract: Acute Respiratory Distress Syndrome (ARDS) is a serious medical condition marked by significant low oxygen levels in the blood, bilateral lung infiltrates, and extensive lung inflammation. It is often caused by a range of direct or indirect injuries to the lungs. Despite considerable advances in understanding the pathophysiology of ARDS, its complex and multifactorial nature continues to challenge clinicians in both diagnosis and management. This review provides a comprehensive analysis …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Tibia/Shin Bone Fracture: Its Surgical Management
Abstract: Tibia is also called shin bone. A fracture occurs when there is a disruption in the continuity of a bone. A crack or break in the tibial bone, also called a tibial fracture, is one of the most painful and disrupted conditions of the lower limb. This type of fracture is caused by accidents, falls, collisions, twisting, sports, etc. Pain, bleeding, tissue injury, tingling, and other symptoms are common in …
Published in International Journal of Medical Surgical Nursing · Vol. 7, Issue 1, 2024 · pp. 53–56 Read article
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COVID-19 Detection Using Decision Tree Support Vector Machine Random Forest.
Abstract: The rapidly spreading novel coronavirus (SARS-CoV-2) presents a substantial global health risk, necessitating swift detection through efficient diagnostic methods. Reports highlight lung-related issues in many COVID-19 patients, and both chest CT scans and X-rays are effective in identification. Chest X-ray (CXR) imaging, due to its convenience, faster imaging, simplicity, and lower cost, stands out. In our study, we applied Decision Tree, Random Forest, and Support Vector Machine to identify COVID-19 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 9, Issue 2, 2023 · pp. 7–21 Read article
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Abernathy Syndrome: A Case Report and Application of Sr. Callista Roy’s Adaptation Theory/Model with Nursing Process Approach
Abstract: Abernethy syndrome, also known as Abernethy malformation or congenital extra hepatic portosystemic shunts (CEPS), is a rare clinical entity and manifests with different clinical symptoms. Abernethy syndrome is an abnormality of vascular development where there is shunting of portal blood into the systemic venous system. Multidetector computed tomography (MDCT) is a fast and effective modality for evaluation of Abernethy syndrome. CT scan and magnetic resonance imaging (MRI) display all the …
Published in International Journal of Pediatric Nursing · Vol. 5, Issue 2, 2019 · pp. 1–6 Read article
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Drilling of Fibre Reinforced Plastics (FRPs) Materials: A Literature Survey
Abstract: The use of polymer composite materials has increased rapidly over the last decade and the numbers of papers for the machining of these materials has also increased. The aim of this paper is to present a literature survey on the resins, properties, the superiority of the hole produced in drilling of the fibre reinforced plastics (FRPs), different techniques used to detect the defects in composite structures that may be caused …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 1, 2015 · pp. 14–31 Read article
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Green synthesis of Copper nanoparticles using Ctenolepis garcini (Burm.f.) C.B Clarke.
Abstract: Copper nanoparticles, due to the excellent physical and chemical properties and low cost of preparation, have been of great interest in wide applications as heat transfer systems, antimicrobial materials, super strong materials, sensors and catalysts. The present study is a novel biological approach for the formation of copper nanoparticles using Ctenolepis garcinii (Burm.f.) C.B Clarke. Copper nitrate was made to reduce with aqueous solution of plant extract. UV-Visible spectrum showed …
Published in International journal of Nanobiotechnology · Vol. 3, Issue 2, 2017 · pp. 1–6 Read article