Aim: The aim of this study was to assess the short-term outcomes of robotic colorectal surgery implemented through a structured, standardized training pathway in five colorectal centres in the United Kingdom.
Method: A multicentre retrospective observational study was conducted, involving 523 consecutive patients who underwent robotic colorectal resection between 2015 and 2019. All participating centres followed the European Academy of Robotic Colorectal Surgery training pathway.
This research study proposes a unique framework that takes input from a surface electromyogram (sEMG) and functional near-infrared spectroscopy (fNIRS) bio-signals. These signals are trained using convolutional neural networks (CNN). The framework entails a real-time neuro-machine interface to decode the human intention of upper limb motions.
View Article and Find Full Text PDFWith the eruption of COVID pandemic, many cases of thromboembolic events in association with the COVID infection were reported suggesting the prothrombotic state associated with the infection. After a few years, eventually some of the COVID vaccines came into implementation. With the discovery and implementation of COVID vaccinations, a very few cases have been reported to have developed thromboembolic events, including pulmonary thromboembolism.
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