Annals of surgery
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Develop a pioneer surgical anonymization algorithm for reliable and accurate real-time removal of out-of-body images validated across various robotic platforms. ⋯ Our deep learning model, Robotic Anonymization Network, offers reliable, accurate, and safe real-time anonymization during complex and lengthy surgical procedures regardless of the robotic platform. The model can be used in real time for surgical live streaming and is openly available.
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The aim of this study was to evaluate the association between sex and outcomes following thoracic endovascular aortic repair (TEVAR) for intact isolated descending thoracic aortic aneurysms (iiDTAA). ⋯ Our findings suggest that females who undergo TEVAR for iiDTAA have similar 5-year and perioperative outcomes as compared with males.
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The purpose of this surgical perspective is to describe the trauma care needs of the South Side of Chicago and the creation of an adult trauma center at the University of Chicago Medicine and associated hospital-based violence intervention program. ⋯ The persistent efforts of the community and key stakeholders led to a system change that improved trauma care for the South Side of Chicago.
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To assess the association between the Global Budget Revenue (GBR) payment model and shifts to the outpatient setting for surgical procedures among Medicare fee-for-service beneficiaries in Maryland versus control states. ⋯ Implementing Maryland's GBR payment model was associated with an acceleration in the shift from inpatient to outpatient hospital settings for surgical procedures.
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To investigate whether ischemia alters donor kidney metabolism and whether these changes are associated with organ function. ⋯ Perfusate metabolite changes during normothermic kidney perfusion represent a unique noninvasive opportunity to assess graft viability. These findings now need validation in transplant studies.