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Viz uses deep learning algorithms to identify a suspected large vessel occlusion, a particularly disabling type of stroke, in a CT scan and alerts the stroke team specialist.

By alerting the right doctor at the right time and synchronizing care, Viz has the potential to significantly reduce the time to treatment and greatly increase a patient’s chances of a good outcome.

Viz.ai’s acute ischemic stroke software is now available in over 300 hospitals across the U.S. “Viz.ai shortens time to treatment, increases the number of patients able to receive lifesaving therapy, and allows us to provide the best care for our patients.

With rising costs and more focus on value-based care, there needs to be an emphasis on delivering the highest quality care in the shortest amount of time while reducing costs,” said Neil Shah of Greenoaks.

Viz.ai’s flagship product, Viz LVO, leverages advanced deep learning to communicate time-sensitive information about suspected stroke patients straight to a specialist who can intervene and treat.

AI Weekly Update #6 September 22nd, 2019

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