Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mark Svet"'
Publikováno v:
BMC Palliative Care, Vol 22, Iss 1, Pp 1-5 (2023)
Abstract Background Terror management theory (TMT) posits that people manage death-related anxiety through the meaning provided by their cultural world-views and the sense of personal value provided by self-esteem. While a large body of research has
Externí odkaz:
https://doaj.org/article/903f8e522e24463385d2a197e3e1ca05
Autor:
Mark Svet, Rachel Giles
Publikováno v:
Medicom Conference Report ACC 2022.
Autor:
Tyler R. Koski, Nathan A. Shlobin, Conor Driscoll, Mark Svet, Kartik Kesavabhotla, Jack Goergen, Nader S. Dahdaleh, Max F. Kelsten, Benjamin S. Hopkins, Michael Cloney
Publikováno v:
Spine. 46:624-629
STUDY DESIGN Retrospective case series. OBJECTIVE We sought to identify risk factors associated with surgical site infection (SSI) after posterior long segment spinal fusion (PLSF). SUMMARY OF BACKGROUND DATA Patients who undergo PLSF may be at eleva
Autor:
Michael Brendan Cloney, Benjamin Hopkins, Nathan A. Shlobin, Max Kelsten, Jack Goergen, Conor Driscoll, Mark Svet, Matthew Ordon, Tyler Koski, Nader S. Dahdaleh
Publikováno v:
Operative neurosurgery (Hagerstown, Md.). 23(4)
Most posterior spinal fusion (PSF) patients do not require admission to an intensive care unit (ICU), and those who do may represent an underinvestigated, high-risk subpopulation.To identify the microbial profile of and risk factors for surgical site
Publikováno v:
Journal of Science and Medicine in Sport. 22:758-762
Objectives CrossFit is an increasingly popular high intensity work out program geared towards high repetition and intensity done in short intervals. Recently, documented cases of rhabdomyolysis (muscle necrosis and extreme muscle breakdown) after Cro
Autor:
Alejandro Suarez-Pierre, Marc P. Bonaca, Gretchen M. Johnson, Gregory Piazza, Judith Hsia, Jessica Thurston, Mark R. Nehler, Mark Svet
Publikováno v:
Journal of the American College of Cardiology
Autor:
Kartik Kesavabhotla, Zachary A. Smith, Mark Svet, Aditya Mazmudar, Benjamin S. Hopkins, Nathan A. Shlobin, Nader S. Dahdaleh, Conor Driscoll, Jack Goergen, Max F. Kelsten
Publikováno v:
Clinical Neurology and Neurosurgery. 192:105718
Objectives Machine Learning and Artificial Intelligence (AI) are rapidly growing in capability and increasingly applied to model outcomes and complications within medicine. In spinal surgery, post-operative surgical site infections (SSIs) are a rare,