Annals of surgery
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Observational Study
Using the Operating Room Black Box to Assess Surgical Team Member Adaptation Under Uncertainty: An Observational Study.
Identify how surgical team members uniquely contribute to teamwork and adapt their teamwork skills during instances of uncertainty. ⋯ OR Black Box enabled the assessment of critically important details about how team members uniquely contribute during instances of uncertainty. Some teamwork skills were amplified, while others dampened when dealing with IAEs. The knowledge of how each role contributes to teamwork and adapts to IAEs should be used to inform the design of tailored interventions to strengthen interprofessional teamwork.
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To quantify health utilities of the Glasgow Outcome Scale-Extended (GOSE) states after actual traumatic brain injury (TBI). ⋯ Level II-economic and value-based evaluations.
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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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To develop and validate TraumaICDBERT, a natural language processing algorithm to predict injury International Classification of Diseases, 10th edition (ICD-10) diagnosis codes from trauma tertiary survey notes. ⋯ TraumaICDBERT demonstrates promising initial performance in predicting injury ICD-10 diagnosis codes from trauma tertiary survey notes, potentially facilitating the adoption of downstream prediction tools in clinical settings.