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World Stroke Day 2023: Stroke Strikes at Any Age

/PRNewswire/ Ahead of World Stroke Day, October 29, physicians from the Get Ahead of Stroke® campaign are highlighting a sobering statistic: While the. ....

United States , Camille Jewell , Mahesh Jayaraman , Society Of Neurointerventional Surgery , World Stroke Day , Get Ahead , Rhode Island Hospital , Neurointerventional Surgery ,

World Stroke Day 2023: Stroke Strikes at Any Age

World Stroke Day 2023: Stroke Strikes at Any Age
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United States , Camille Jewell , Mahesh Jayaraman , Society Of Neurointerventional Surgery , World Stroke Organization , World Stroke Day , Get Ahead , Rhode Island Hospital , Neurointerventional Surgery , Stroke Day ,

Massachusetts' Recent Stroke Triage Protocol Updates Will Save Lives, Reduce Disability, Says SNIS

Massachusetts' Recent Stroke Triage Protocol Updates Will Save Lives, Reduce Disability, Says SNIS
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United States , Maura Healey , Camille Jewell , Mark Montigny , Mahesh Jayaraman , Us Research , Society Of Neurointerventional Surgery , Department Of Public Health , Department Of Health , Stroke Campaign , Public Health , State Senator , Rhode Island Hospital , Neurointerventional Surgery ,

Procedure for Treating Adults with Severe Stroke Is Also Safe and Effective for Treating Children, Research Shows

Procedure for Treating Adults with Severe Stroke Is Also Safe and Effective for Treating Children, Research Shows
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Researchers develop smartphone app that relia

Today at the Society of NeuroInterventional Surgery’s (SNIS) 20th Annual Meeting, researchers discussed a smartphone app created that reliably recognizes patients’ physical signs of stroke with the power of machine learning.
In the study, “Smartphone-Enabled Machine Learning Algorithms for Autonomous Stroke Detection,” researchers from the UCLA David Geffen School of Medicine and multiple medical institutions in Bulgaria used data from 240 patients with stroke at four metropolitan stroke centers. Within 72 hours of the start of the patients’ symptoms, researchers used smartphones to record videos of patients and test their arm strength in order to detect patients’ facial asymmetry, arm weakness, and speech changes all classic stroke signs. ....

Radoslav Raychev , Camille Jewell , Society Of Neurointerventional Surgery , David Geffen School Of Medicine , Neurointerventional Surgery , Annual Meeting , Enabled Machine Learning Algorithms , Autonomous Stroke Detection , Geffen School ,