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28 articles for “MRI scan”
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A Review on: Cotard’s Syndrome
Abstract: Cotard’s Syndrome is a rare and severe mental health condition characterized by nihilistic delusions, in which individuals firmly believe that they are dead, no longer exist, or that parts of their body are decaying or missing. These beliefs are not symbolic or metaphorical but are experienced as absolute truths, making the disorder particularly distressing and difficult to manage. The syndrome is most commonly observed in association with major depressive disorder, …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 5–9 Read article
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Polymer-Based Medical Restraints: Advances in Polymer Chemistry for Enhanced Patient Safety
Abstract: Medical restraints play a crucial role in ensuring patient and staff safety during medical procedures, particularly when dealing with individuals who may be at risk of self-harm or unintentional movement. Traditional restraints, often made from rigid materials or fabric straps, present several challenges, including patient discomfort, pressure injuries, and incompatibility with advanced medical imaging techniques such as MRI and CT scans. Moreover, traditional materials may deteriorate over time, diminishing their …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 153–157 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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A Comparative Study of different Techniques to predict Maternal Morbidity and Mortality Model
Abstract: Artificial intelligence (AI) encompasses a range of techniques, including machine learning and deep learning, which are increasingly utilized in the healthcare sector for tasks such as disease diagnosis and drug discovery. To achieve accurate disease diagnosis through AI, it is essential to integrate data from multiple medical sources, including ultrasound imaging, magnetic resonance imaging (MRI), mammography, genomics, and computed tomography (CT) scans, among others. This article presents a comprehensive review …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 Read article
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Evaluation of Small Vessel Disease by Advanced Brain Imaging
Abstract: Studying and comprehending brain small vessel disease requires extensive imaging. Recent applications of cutting-edge brain imaging techniques have led to the discovery of several significant results. Diffusion-weighted MRI studies have demonstrated the diagnostic accuracy of using clinical features alone or in combination with CT scan results to identify small vessel disease as the underlying cause is suboptimal in patients with acute lacunar syndromes. Acute infarcts caused by small vessel disease …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 15–19 Read article
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Brain Tumor Detection by Aggregating Deep Learning and GAN Models for Faster MRI image Synthesis
Abstract: Brain tumors comprise a global health challenge that, in order to be treated and organized, need early and accurate diagnosis. Usually conducted through medical imaging, brain tumor detection techniques have problems of accuracy, efficiency, and confidentiality. Issues of limited datasets, strict privacy laws that provide restrictions on data sharing, and the necessity for specialized expertise on medical image analysis relegates modern methodologies to vulgar charades. For patient prognosis, treatment planning, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 45–53 Read article
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Structure–Property Relationships in Poly (N isopropylacrylamide) Hydrogels: Toward Thermoresponsive Polymer Composites
Abstract: Poly(N-isopropylacrylamide) (PNIPAAm) hydrogels can shift from solid to gel and back again at body temperature. Due to their lack structural integrity, thermal stability, and mechanical strength, they are difficult to use. This study mixed PNIPAAm with biocompatible fillers like chitosan and silicon nanoparticles to create hydrogels with superior structure-property correlations. Free radical polymerization with ammonium persulfate/TEMED initiator and N,N′-methylenebisacrylamide crosslinker produced the composites. Scanning electron microscopy showed a denser, interconnected …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 884–895 Read article
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Development of Biodegradable Poly (Lactic-Co-Glycolic Acid) (PLGA) Nanoparticles for Sustained Release of Insulin
Abstract: This research outlines the creation of biodegradable composite nanoparticles made from poly (lactic-co-glycolic acid) (PLGA) designed for the sustained release of insulin. The emphasis is on the interactions between the polymer and the drug at the interface, along with the dynamics of the release matrix. The in vitro release kinetics, surface morphology, encapsulation efficiency, particle size, and polydispersity of insulin-loaded PLGA nanoparticles were analyzed following their production via a double …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1690–1699 Read article