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To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-Net, to generate DL-driven MRA collateral maps. Two raters graded the collateral perfusion scores of both conventional and DL-driven MRA collateral maps and measured the grading time.

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Background: Autologous fat injection in facial reconstruction is a common cosmetic surgery. Although cerebral fat embolism (CFE) as a complication is rare, it carries serious health risks.

Case Summary: We present a case of a 29-year-old female patient who developed acute CFE following facial fat filling surgery.

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Purpose: Despite significant improvements in the design and performance of continuous flow left ventricular assist devices (CFLVADs), one of the most important reasons hampering further penetration of this technology is the occurrence of adverse events, especially strokes. One of the well-known risk factors for strokes is hypertension which is particularly common in patients undergoing a CFLVAD implant. While the device is implanted in the heart, strokes happen due to pathology in the brain and we hypothesised that modelling the blood flow in the circle of Willis might shed light on the causation of strokes in this situation.

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The intra-aortic balloon pump (IABP) is a widely-used mechanical circulatory support device that enhances hemodynamics in patients with heart conditions. Although the IABP is a common clinical tool, its effectiveness in enhancing outcomes for patients with acute myocardial infarction and cardiogenic shock remains disputed. This study aimed to assess the effectiveness of intra-aortic dual-balloon pump (IADBP) and its impact on aortic hemodynamics compared with an IABP.

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Panax notoginseng (P. notoginseng) is one of the most famous natural medicines and widely used to promote blood circulation in health care. However, the active component group of P.

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