Mohamed F Doheim: AI-Driven Stroke Triage Boosts Workflow and EVT Use Across Multicenter Network
Mohamed F Doheim, Assistant Professor in Neurology (Clinical Research), NIH StrokeNet Fellow at the University of Pittsburgh School of Medicine, shared on LinkedIn about a recent article he and his colleagues co-authored, adding:
”Our stratified analysis published JNNP BMJ (4,548 stroke admissions) across 4 hubs plus 60 spokes shows that an AI-driven triage platform improved workflow and increased EVT utilization with remarkable cost savings!”
Title: Impact of an artificial intelligence–driven triage system on workflow and transfer efficiency: stratified analysis of 4548 admissions to four thrombectomy hubs receiving transfers from sixty spokes
Authors: Mohamed Doheim, Matthew Starr, Nirav Bhatt, Marcelo Rocha, Alhamza Al-Bayati, Abdullah Sultany, Charles Romero, Cynthia Kenmuir, Stephanie Henry, Raul Nogueira
Read the Full Article on Journal of Neurology, Neurosurgery and Psychiatry
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