Background: High-level median or ulnar nerve injuries and repairs typically result in suboptimal re-innervation of distal muscles. Functioning Free Muscle Transplantation (FFMT) is increasingly recognized as an effective method to restore function in chronic muscle denervation cases. This study investigates the efficacy of using an additional FFMT, neurotized by lateral sprouting axons from a repaired high-level mixed nerve in the upper limb, to enhance distal hand function.
View Article and Find Full Text PDFBackground: Nusinersen and risdiplam are U.S. Food and Drug Administration (FDA)-approved treatments for spinal muscular atrophy (SMA).
View Article and Find Full Text PDFBackground: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging enables imaging of scar/fibrosis and is a cornerstone of most CMR imaging protocols. CMR imaging can benefit from image acceleration; however, image acceleration in LGE remains challenging due to its limited signal-to-noise ratio. In this study, we sought to evaluate a rapid 2D LGE imaging protocol using a generative artificial intelligence (AI) algorithm with inline reconstruction.
View Article and Find Full Text PDFIn this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture for chest X-ray images; it primarily consists of a redesigned feature extraction (FE) module and multiscale feature (MF) module and validated using publicly available COVID-19 datasets. Experiments were conducted on multiple updated versions of the COVID-19 Radiography Database, a publicly accessible dataset on Kaggle. The database contained images categorized into three classes: COVID-19 coronavirus, viral or bacterial pneumonia, and normal.
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