Using AI to Improve Stroke Care
with Dr. Ameer Hassan and Dr. Sabeen Dhand
BackTable, LLC (Producer). (2020, December 7). Ep. 98 – Using AI to Improve Stroke Care [Audio podcast]. Retrieved from
Interventional Neurologist Ameer Hassan and Interventional Radiologist Sabeen Dhand discuss how utilizing Artificial Intelligence (AI) can reduce transfer times and length of stay in a hub and spoke model for Stroke Care.
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Dr. Ameer Hassan
Dr. Hassan is Head of the Neuroscience Department and an Associate Professor of Neurology and Radiology at the University of Texas Rio Grande Valley. He serves as the Director of Endovascular Surgical Neuroradiology and Clinical Neuroscience Research at the Valley Baptist Neuroscience Institute.
Dr. Sabeen Dhand
Host Dr. Sabeen Dhand is a practicing interventional radiologist with PIH Health in Los Angeles.
In this episode, Dr. Ameer Hassan joins Dr. Sabeen Dhand to discuss the use of artificial intelligence (AI) to improve stroke care. We explain the hub and spoke model and how the primary stroke centers communicate in the hub. Dr. Hassan describes how the system determines which center a stroke patient will go to.
We discuss how the system optimizes the transfer from spoke to hub and how comparing trends in stroke patients allowed them to speed up the process. We explain how AI is used in stroke care using decision trees and deep learning. We discuss the benefits of using AI to remove steps and sending push notifications to phones, allowing radiologists to review imaging quicker.
SAGE journals; Interventional Neuroradiology
Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model
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