Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Michael L, Martini"'
Publikováno v:
Biomolecules, Vol 13, Iss 11, p 1658 (2023)
L-DOPA is the mainstay of treatment for Parkinson’s disease (PD). However, over time this drug can produce dyskinesia. A useful acute PD model for screening novel compounds for anti-parkinsonian and L-DOPA-induced dyskinesia (LID) are dopamine-depl
Externí odkaz:
https://doaj.org/article/075a966a56634eff9692f284cadfa73e
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 11, Iss 23 (2022)
Background A subset of good‐grade patients with aneurysmal subarachnoid hemorrhage (aSAH) develop delayed cerebral ischemia (DCI) that may cause permanent disabilities after aSAH. However, little is known about the risk factors of DCI among this sp
Externí odkaz:
https://doaj.org/article/ab24413ab31349dcba84284c274f3845
Autor:
Michael L. Martini, Aly A. Valliani, Claire Sun, Anthony B. Costa, Shan Zhao, Fedor Panov, Saadi Ghatan, Kanaka Rajan, Eric Karl Oermann
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Real-time seizure detection is a resource intensive process as it requires continuous monitoring of patients on stereoelectroencephalography. This study improves real-time seizure detection in drug resistant epilepsy (DRE) patients by develo
Externí odkaz:
https://doaj.org/article/d773d42d7cf9413393bd341e9a21fbe5
Autor:
Aly A. Valliani, Faris F. Gulamali, Young Joon Kwon, Michael L. Martini, Chiatse Wang, Douglas Kondziolka, Viola J. Chen, Weichung Wang, Anthony B. Costa, Eric K. Oermann
Publikováno v:
PLoS ONE, Vol 17, Iss 10 (2022)
The fundamental challenge in machine learning is ensuring that trained models generalize well to unseen data. We developed a general technique for ameliorating the effect of dataset shift using generative adversarial networks (GANs) on a dataset of 1
Externí odkaz:
https://doaj.org/article/2a81c920dec8430abc753a92bfe4be4a
Autor:
Michael L. Martini, Sean N. Neifert, J Mocco, Fedor Panov, Winona Tse, Ruth H. Walker, Jian Jin, Fiona Gupta
Publikováno v:
Journal of Movement Disorders, Vol 12, Iss 3, Pp 161-165 (2019)
Externí odkaz:
https://doaj.org/article/a5c066668ef042509fe6c034e51e932f
Publikováno v:
World Neurosurgery. 166:e253-e262
Subinternships are critical experiences for medical students applying into neurosurgery to acquire knowledge of the field and network with colleagues. During the coronavirus disease 2019 pandemic, in-person rotations were suspended for 2020 and reduc
Autor:
Dominic A, Nistal, Michael L, Martini, Sean N, Neifert, Gabrielle, Price, Alejandro, Carrasquilla, Jonathan S, Gal, John M, Caridi
Publikováno v:
Int J Spine Surg
BACKGROUND: Obstructive sleep apnea (OSA) is a pervasive problem that can result in diminished neurocognitive performance, increased risk of all-cause mortality, and significant cardiovascular disease. While previous studies have examined risk factor
Autor:
Aly A, Valliani, Rui, Feng, Michael L, Martini, Sean N, Neifert, Nora C, Kim, Jonathan S, Gal, Eric K, Oermann, John M, Caridi
Publikováno v:
Neurosurgery. 91:322-330
Extended postoperative hospital stays are associated with numerous clinical risks and increased economic cost. Accurate preoperative prediction of extended length of stay (LOS) can facilitate targeted interventions to mitigate clinical harm and resou
Autor:
William H. Shuman, Aly A. Valliani, Emily K. Chapman, Michael L. Martini, Sean N. Neifert, Rebecca B. Baron, Alexander J. Schupper, Jeremy M. Steinberger, John M. Caridi
Publikováno v:
World Neurosurgery. 160:e404-e411
Intraoperative navigation during spine surgery improves pedicle screw placement accuracy. However, limited studies have correlated the use of navigation with clinical factors, including operative time and safety. In the present study, we compared the
Autor:
William H. Shuman, Rebecca B. Baron, Sean N. Neifert, Michael L. Martini, Emily K. Chapman, Alexander J. Schupper, John M. Caridi, Jeremy Steinberger
Publikováno v:
Clinical Spine Surgery: A Spine Publication. 35:376-382
This was a systematic review.This review evaluates the minimally invasive transforaminal lumbar interbody fusions (MIS-TLIF) learning curve in the literature and compares outcomes during and after completing the curve.MIS-TLIF are performed for vario