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Can Artificial Intelligence Improve Stroke Diagnostics?

Worsened financial situation and sleep difficulties as key indicators of individuals at higher risk of developing mental health issues.

AI-based gaze deviation detection can aid in quick stroke diagnosis, expand access to lifesaving care

A new study presented today at the Society of NeuroInterventional Surgery's (SNIS) 19th Annual Meeting shows that artificial intelligence (AI) technology can identify when a patient is having a stroke caused by emergent large vessel occlusion (LVO), therefore making them a candidate for endovascular therapy (EVT).

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