Abstract P355: Real-Word Performance of Two Automated Software Platforms for Identification of Salvageable Tissue in Stroke Patients: A Single Center Experience

Angelos Katramados,Horia Marin,Maximilian Kole,Owais K Alsrouji,Pala Varun,Daniel Miller,Hebah Hefzy,Shaneela Malik,Ahmad-Riad Ramadan,Panayiotis Mitsias,Mohammed Rehman,Megan Brady,Dawn Scozzari,Christopher Lewandowski,Omar A Danoun,Kavita Grover,Daniel S. Newman,Gregory L. Barkley,Alex Bou Chebl

Abstract P355: Real-Word Performance of Two Automated Software Platforms for Identification of Salvageable Tissue in Stroke Patients: A Single Center Experience

2021

Angelos Katramados
Horia Marin
Maximilian Kole
Owais K Alsrouji
Pala Varun
Daniel Miller
Hebah Hefzy
Shaneela Malik
Ahmad-Riad Ramadan
Panayiotis Mitsias
Mohammed Rehman
Megan Brady
Dawn Scozzari
Christopher Lewandowski
Omar A Danoun
Kavita Grover
Daniel S. Newman
Gregory L. Barkley
Alex Bou Chebl

Background and purpose: Modern stroke treatment has been revolutionized by image-guided selection of patients for endovascular thrombectomy. Current automated platforms allow for real-time identifi...

Keywords:

Single Center
Software
Medicine
real word
stroke patient
Artificial intelligence
Identification (information)
Natural language processing

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