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August 4, 2023
Researchers utilized a smartphone app to detect early signs of stroke. Researchers gathered at the Society of NeuroInterventional Surgery's (SNIS) 20th Annual Meeting to discuss a smartphone app designed to detect early signs of stroke accurately, leveraging the power of machine learning.
August 3, 2023
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.
August 3, 2023
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 strok...