About 85% of strokes are ischaemic and in these cases the faster blood flow is restored to the brain the better chance someone has of making a good recovery.
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May 2, 2024 · We provide commentary to highlight potential artificial intelligence (AI) applications to improve stroke detection, improve accurate and timely dispatch.
Focuses on facial palsy, extremity motor function, head and gaze deviation, and aphasia or agnosia. 3. Thought to be simpler to assess by field providers than a ...
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In this paper, the first results about the adoption of Convolu- tional Neural Networks to identify the symptoms of the stroke and support the pre-hospital ...
May 31, 2024 · In this paper, we develop a new algorithm for multi-stroke gesture recognition, which integrates timing data into a manifold learning algorithm ...
The most commonly used scale in a prehospital setting for stroke recognition is the Face, Arms, Speech, Time (FAST) test.
Jun 14, 2024 · Two previous studies have shown that facial recognition can detect stroke with an accuracy of over 95%., One study developed a ML model (Support ...
May 29, 2024 · This study developed and evaluated a video setup for collaborative prehospital stroke assessment with remote neurologists. Both ambulance nurses ...
Prehospital stroke detection (PSD) devices are a noninvasive health technology that can be used in the prehospital environment to diagnose and characterize ...
This scoping review aims to summarise literature on existing methods for early characterisation of stroke by using AI.