Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Anjan Ballekere"'
Autor:
Ngoc Mai Le, Youngran Kim, Sergio Salazar‐Marioni, Arash Niktabe, Anjan Ballekere, Rania Abdelkhaleq, Ananya Iyyangar, Hussain Azeem, Diogo Haussen, Jonathan Grossberg, Jaydevsinh Dolia, Aqueel Pabaney, Mahmoud Mohammaden, Shahram Majidi, Johanna T. Fifi, Thanh Nguyen, Mohamad Abdalkader, Piers Klein, Rebecca Sugg, Ameer Hassan, Wondwossen Tekle, David Liebeskind, Italo Linfante, Hamzah Saei, Gabrielle Valestin, Santiago Ortega‐Gutierrez, James Siegler, Brijesh Mehta, Guillermo Linares, Mouhammad Jumaa, Joy Sessa, Sunil Sheth, Raul Nogueira
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 3, Iss S2 (2023)
Introduction Recent randomized controlled trials (RCT) failed to demonstrate the non‐inferiority of skipping IV tPA in patients with planned endovascular therapy (EVT). None of these studies included patients from the US due to regulatory challenge
Externí odkaz:
https://doaj.org/article/c23d715f8f4b4033a10e62d634939698
Autor:
Hyun‐Woo Kim, Anjan Ballekere, Iman Ali, Sergio Salazar Marioni, Rania Abdelkhaleq, Arash Niktabe, Hussain Azeem, Ananya Iyyangar, Omri Segev, Orin Bibas, Dan Paz, Christopher J. Love, Luca Giancardo, Sunil A. Sheth
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 3, Iss 6 (2023)
Background Unruptured cerebral aneurysms (UCAs) have a relatively low prevalence of ≈3%, but detection can prevent devastating consequences of subarachnoid hemorrhage. Here, we assess the performance of a machine learning algorithm to identify UCAs
Externí odkaz:
https://doaj.org/article/eaae08cd2ba64d4fab78d87cb1eeb98b
Autor:
Juan Carlos Martinez-Gutierrez, Sergio Salazar-Marioni, Rania Abdelkhaleq, Arash Niktabe, Juan Carlos Rodriguez-Quintero, Michael Nahhas, Saagar Dhanjani, Anjan Ballekere, Ananya Iyyangar, Luca Giancardo, Deepa Dongarwar, Sunil Sheth, Youngran Kim
Publikováno v:
Stroke. 54
Introduction: Automated LVO detection from CT angiography may improve treatment times in LVO acute ischemic stroke (AIS), as suggested by prior single center non-randomized studies. Here, we perform a cluster randomized trial to evaluate this questio
Autor:
Mohammad Rauf A Chaudhry, Sergio Salazar-Marioni, Rania Abdelkhaleq, Arash Niktabe, Juan Carlos Martinez-Gutierrez, Anjan Ballekere, Ananya Iyyangar, Saagar Dhanjani, Luca Giancardo, Deepa Dongarwar, Sunil Sheth, Youngran Kim
Publikováno v:
Stroke. 54
Introduction: Automated LVO detection and software-based care team integration has been shown to improve door-to-groin time metrics at comprehensive stroke centers (CSCs). The impact of this software on accelerating transfers out of primary stroke ce