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ED Triage Chest Pain ProtocolCharles-Hanmer, Mary-Margaret 29 April 2021 (has links)
No description available.
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Resultat av mekaniska bröstkompressioner vid hjärtstopp utanför sjukhus : en litteraturöversikt / The results of mechanical chest compressions in out-of hospital cardiac arrest : a literature reviewHalin, Thomas, Lundberg, Helena January 2020 (has links)
Nationellt drabbas varje år flera tusentals människor av hjärtstopp utanför sjukhus. För att öka chansen till överlevnad hos dessa individer är snabbt påbörjad hjärt-lungräddning av god kvalité av största vikt. Då det är fysiskt ansträngande att utföra hjärt-lungräddning, samt under vissa omständigheter svårt att utföra med bibehållen effektivitet och kvalité, har apparater som kan ge mekaniska bröstkompressioner utvecklats. Syfte: Syftet med studien var att undersöka vilka resultat mekaniska bröstkompressioner har vid hjärtstopp utanför sjukhus. Metod: Studien genomfördes som en allmän litteraturöversikt med en induktiv ansats. Efter kvalitetsgranskning inkluderades totalt 16 vetenskapliga artiklar där majoriteten var kvantitativa studier. Artiklarna inhämtades från databaserna PubMed och CINAHL. Databearbetning genomfördes utifrån en integrerad analys där teman identifierades. Resultat: Den integrerade analysen resulterade i fyra teman; överlevnad, återkomst av spontan cirkulation [ROSC], neurologisk funktion och övriga resultat. Ingen skillnad kunde ses i överlevnad och neurologisk funktion mellan mekaniska bröstkompressioner och manuella bröstkompressioner. Snarare ses en tendens till sämre överlevnad och sämre neurologisk funktion vid användning av mekaniska bröstkompressioner. I övrigt noteras förlängd tid till första defibrillering vid användning av mekaniska bröstkompressioner. Slutsats: De granskade studierna visade att användandet av mekaniska bröstkompressioner vid hjärtstopp utanför sjukhus inte har någon uppenbar fördel gällande överlevnad och neurologisk funktion jämfört med manuella bröstkompressioner. / Nationally, several thousands of people suffer from out-of-hospital cardiac arrest each year. In order to increase the chance of survival in these individuals, cardiac resuscitation of good quality is of the utmost importance. Since it is physically strenuous to perform cardiac resuscitation, and in some circumstances difficult to perform with maintained efficiency and quality, devices that can provide mechanical chest compressions have been developed. Aim: The aim of the study was to investigate the results of mechanical chest compressions on out-of-hospital cardiac arrest. Method: The study was conducted as a general literature review with an inductive approach. After quality review, a total of 16 scientific articles were included, the majority of which were quantitative studies. The articles were obtained from the PubMed and CINAHL databases. Data processing was performed on the basis of an integrated analysis where themes were identified. Results: The integrated analysis resulted in four themes; survival, return of spontaneous circulation [ROSC], neurological function and other results. No difference was seen in survival and neurological function between mechanical chest compressions and manual chest compressions. Rather, there is a tendency towards poorer survival and poorer neurological function when using mechanical chest compressions. Otherwise, extended time to first defibrillation is noted when using mechanical chest compressions. Conclusion: The studies reviewed showed that the use of mechanical chest compressions in out-of-hospital cardiac arrest has no apparent benefit on survival and neurological function compared to manual chest compressions.
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Pneumonia Detection using Convolutional Neural NetworkPillutla Venkata Sathya, Rohit 02 June 2023 (has links)
No description available.
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Multimodal Image Classification In Fluoropolymer AFM And Chest X-Ray ImagesMeshnick, David Chad 26 May 2023 (has links)
No description available.
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Developing a highly accurate, locally interpretable neural network for medical image analysisVentura Caballero, Rony David January 2023 (has links)
Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. The interpretability of machine learning models in medical applications is crucial for trust and bias identification. Aim The aim is to create a locally interpretable neural network that performs comparably to black-box models while being inherently interpretable, enhancing trust in medical machine learning models. Method An MLP ReLU network is trained with Guangzhou Women and Children's Medical Center pediatric chest x-ray image dataset and utilize Aletheia unwrapper for interpretability. A 5-fold cross-validation assesses the network's performance, measuring accuracy and F1 score. The average accuracy and F1 score are 0.90 and 0.91, respectively. To assessthe interpretability results are compared against a CNN network aided with LIME and SHAP to generate explanations. Results Despite lacking convolutional layers, the MLP network satisfactorily categorizes pneumonia images and explanations align with relevant areas of interest from previous studies. Moreover, by comparing it with a state of the art network aided with LIME and SHAP explanations, the local explanations demonstrate to be consistent within areas of the lungs while the post-hoc alternatives often highlighted areas not relevant for the specific task. Conclusion The developed locally interpretable neural network demonstrates promising performance and interpretability. However, additional research and implementation are required for it to outperform the so-called black box models. In a medical setting, a more accurate model despite the score could be crucial, as it could potentially save more lives, which is the ultimate goal of healthcare.
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Image Screening and Patient-Specific Lung Segmentation Algorithm for Chest RadiographsDe Silva, Manawaduge Supun Samudika 20 December 2022 (has links)
No description available.
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Comparing Donor and Recipient Total Cardiac Volume Predicts Risk of Short Term Adverse Outcomes following Heart TransplantationSzugye, Nicholas A., M.D. 04 October 2021 (has links)
No description available.
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Finite Element Modeling of Chest Compressions in CPR / Finita Element Modellering av Bröstkompressioner i HLRKatrínardóttir, Hildigunnur January 2017 (has links)
Factors affecting the risk of ribcage injury in adult subjects during CPR were investigated using the torso region of the THUMS model, a full human body FE-model, representing an average adult male. The thoracic dynamic response of the model was compared to experimental PMHS hub loading impact data and live-subject CPR data found in the literature. The model was then used to study the risk of obtaining injuries in various simulated CPR conditions, also varying the stiffness of the costal cartilage. Parameters that are known to predict induced injuries were extracted from the model simulations, i.e. chest deflections, and maximum 1st principal strain and von-Mises stress in the ribs and sternum, as well as the pressure in the heart muscle. These were compared with values that have been reported to have the potential to cause injury. The predictions were compared to experimental findings of the probability of CPR resulting in fractures of the ribs and sternum. The previously mentioned parameters did not reach high enough values to predict fracture occurrences, but interesting trends were highlighted with regards to the different loading conditions investigated. It was demonstrated that human body FE-model simulation studies can be useful for investigating the influence of different CPR related loading conditions on the risk of occurrences of rib and sternal fractures.
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An Exploration of Rapid Tooling in Low-Cost Bead Foam Molding ApplicationsDejager, Matthew Emerson 07 February 2024 (has links)
Many manufacturing processes require complex tooling which contributes significantly to the cost and time required to develop new products. Bead foam molding is often hampered by these limitations. This thesis presents an analysis of Additive Manufacturing (AM) applications in low cost bead foam molding, focusing on molding trials, economic analysis, and future potential.
Through molding trials, the thesis evaluates the efficacy of AM tooling in comparison to traditional aluminum tooling, specifically in evaluating tool life and cost. A key finding is a reduction in lead time up to 70% and cost of up to 63% compared to traditional tooling, particularly in low-volume production scenarios. This thesis includes a detailed cost analysis, which breaks down the cost components associated with AM processes such as pre-processing, production, material costs, post-processing, and overheads. This analysis reveals that AM tooling can offer substantial cost savings over conventional methods, making it a viable option for specific manufacturing contexts.
Findings suggest that while AM tooling shows significant promise in reducing costs and accelerating production in bead foam molding, further research is required. This research should focus on exploring the scalability of AM for larger tools and investigating the application of new and emerging AM processes and materials. / Master of Science / This thesis explores the use of Additive Manufacturing (AM), often known as 3D printing, in creating molds for bead foam molding—a process used in manufacturing a variety of foam products. Findings reveal that using AM for toolmaking can be faster and more cost-effective than traditional methods, especially for small-scale production. The thesis details experiments comparing AM with conventional tooling and presents a cost analysis showing the potential time and cost savings. While promising, further research is needed to fully harness the benefits of AM in this field. This study opens doors to more efficient and economical manufacturing techniques using emerging AM technology.
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Besvikelse hos patienter med misstänkt angina där kranskärlsröntgen visar normalt resultat : En intervjustudieNylander, Jenny January 2022 (has links)
Bakgrund: Misstanke om angina är vanligt förekommande, och utreds ofta med kranskärlsröntgen. Det är visserligen känns att dessa patienter lider av oro, ovisshet och försämrad livskvalitet men kunskap behövs om varför patienter blir besvikna över ett normalt undersökningsfynd. Syfte: Syftet med studien var att beskriva upplevelser hos patienter som uttrycker en besvikelse över att kranskärlsröntgen visar normala kärl eller inte förklarar patientens symtom samt beskriva vad känslan av besvikelse grundar sig i. Metod: En empirisk studie med beskrivande design och kvalitativ ansats. Sju semistrukturerade intervjuer utfördes med patienter med misstänkt angina. Data har analyserats med kvalitativ innehållsanalys. Huvudresultat: Deltagarna uttryckte en besvikelse över att inte få veta vad deras besvär beror på och över att kranskärlsröntgen inte visade på något som behövde och kunde åtgärdas, vilket hade kunnat bidra till förbättrat välbefinnande och en förbättrad fysisk förmåga. Deltagarna beskrev en förlust och saknad över att inte kunna leva det aktiva liv som de gjort tidigare, vilket tolkas ligga till grund för de förväntningar och reaktioner som deltagarna uttrycker. Upplevda begränsningar, oro och ovisshet leder till psykisk lidande, i form av frustration, nedstämdhet, uppgivenhet, och en känsla av hopplöshet. Detta leder till förväntningar på att få svar och hopp om åtgärd. Slutsats: Sjukvården kanske inte alltid kan minska patienternas grad av begränsningar, men genom relevant och anpassad information, kan vi ge patienterna rimliga förväntningar och till viss del kanske minska graden av besvikelse. Genom tydliga besked, stöd, och uppföljning kan vi förhoppningsvis minska patienternas psykiska lidande och känsla av ovisshet. / Background: Suspicion of angina are common, and often investigated with coronary angiography. Although it´s known that these patients suffer from anxiety, uncertainty and impaired QoL, knowledge is needed as to why patients are disappointed with normal examination findings. Aim: The aim of this study was to describe experiences in patients who express disappointment over the fact that coronary angiography shows normal vessels or don´t explain the patient's symptoms, and to describe what the feeling of disappointment is based on. Method: An empirical study with descriptive design and qualitative approach. Seven semi-structured interviews were conducted with patients with suspected angina. Data have been analyzed with qualitative content analysis. Main results: The participants expressed disappointment of not knowing what causes their problems and that coronary angiography did not reveal something that needed or could be fixed, which could have contributed to improved well-being and improved physical ability. The participants described a loss of not being able to live the active life that they´ve been used to, which interpreted to be the cause of their expressed expectations and reactions. Their experienced limitations, anxiety and uncertainty lead to mental suffering, frustration, depression, despair, and a feeling of hopelessness. This leads to expectations of getting answers and hope of treatment. Conclusion: Healthcare may not always be able to reduce patients' degree of limitation, but through relevant and customized information, we can give patients reasonable expectations and to some extent perhaps reduce the degree of disappointment. Through clear messages, support, and follow-up, we can hopefully reduce patients' mental suffering and feelings of uncertainty.
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