FAST AI detects stroke symptoms - facial asymmetry, arm and speech deficiencies
We created a multimodal automated acute stroke detection software, incorporating universally accepted F.A.S.T. paradigm. Based on machine learning, computer vision, and signal processing methodology we designed modules detecting patterns of acute stroke including facial asymmetry, speech changes, and arm weakness. The app aims to help physicians manage their patients and test them for acute stroke symptoms.
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