Abstract WP180: Novel Machine Learning Model for Prediction of Futile Recanalization in Acute Ischemic Stroke Patients With Anterior Circulation Large Vessel Occlusion
Year: 2024
Type: conference-abstract
Source: Stroke
Authors: Conor Cunningham, Youssef Zohdy, Sameh Samir Elawady, Hidetoshi Matsukawa, Mohammad-Mahdi Sowlat, Kazutaka Uchida, Sara Zandpazandi, Atakan Orscelik, Ilko Maier, Sami Al Kasab, Pascal M Jabbour, Joon-Tae Kim, Stacey C Quintero, ansaar rai, Robert Starke, Marios Psychogios, Edgar A Samaniego, Adam S Arthur, Shinichi Yoshimura, Hugo Cuellar, Brian Howard, Ali M Alawieh, Daniele G. Romano, Omar Tanweer, Justin Mascitelli, Isabel Fragata, Adam Polifka, Joshua Osbun, Roberto Crosa, Charles C Matouk, Min S Park, Michael Levitt, Waleed Brinjikji, Mark Moss, Travis Dumont, Richard Williamson, Pedro Navia, Peter Kan, Reade A De Leacy, Shakeel A Chowdhry, Mohamad Ezzeldin, Alejandro M Spiotta
Institutions: Medical University of South Carolina, Emory University, Hyogo Medical University, Universitätsmedizin Göttingen, University of Göttingen, Thomas Jefferson University, Chonnam National University, Chonnam National University Hospital, Atrium Health Wake Forest Baptist, West Virginia University, University of Miami, University of Miami Health System, University Hospital of Basel, University of Iowa, University of Iowa Hospitals and Clinics, Semmes Murphey Foundation, Louisiana State University Health Sciences Center Shreveport, AOU San Giovanni di Dio e Ruggi d'Aragona, Baylor College of Medicine, The University of Texas at San Antonio Health Science Center, Unidade Local de Saúde de São José, University of Florida, Washington University in St. Louis, Yale University, University of Virginia, University of Washington, Mayo Clinic, Washington Regional Medical Center, University of Arizona, Allegheny General Hospital, Hospital Universitario La Paz, The University of Texas Medical Branch at Galveston, Mount Sinai Hospital, Endeavor Health, University of Houston
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W4391448060