Artificial Intelligence | Machine Learning | Natural Language Processing Viz.ai | Synchronized Stroke Care for Manufacturing


Healthcare,Deep Learning,Healthcare,Stroke San Francisco, California, United States

Viz.ai

Artificial Intelligence | Machine Learning | Natural Language Processing


Viz.ai | Synchronized Stroke Care for Manufacturing

Viz.ai

Healthcare,Deep Learning,Healthcare,Stroke


San Francisco, California, United States

Viz.ai is an applied artificial intelligence healthcare company that works alongside physicians to improve acute medical care. When the brain is injured, every minute matters. Doctors use advanced imaging to diagnose the patient and refer to the right specialist. The faster they can make the diagnosis and transfer that patient the better the patient outcome. At Viz.ai, we are working on deep learning algorithms, and AI aided triage to get the right patient to the right doctor at the right time. Viz.ai?s landmark products are the Viz LVO and Viz CTP platforms?both are FDA cleared and commercially available in the United States. Viz LVO uses artificial intelligence to automatically detect large vessel occlusion strokes and triage patients directly to a stroke specialist. Viz CTP uses advanced processing technology to automatically analyze CT perfusion images and generate parametric perfusion color maps.

 

B2B

101 to 250

Series B

$80.6M

Scaling Up

2016

 
 

Managed Health Care
Healthcare

Life-saving Therapies
Saving Critical Time for Stroke Patients

Synchronized Stroke Care

 
 

Service

Yes

Active

 
 

   Machine Learning
   Natural Language Processing


Viz-ICH

Viz-ICH


N/A

 

   Software


N/A


Neural Networks

Neural Networks

 
 

Oct 2020

  • Viz.ai Wins UCSF's 2020 Digital Health Award for Best New Application of A.I.

Apr 2020

  • Viz.ai Launches Covid-19 Patient Triage Tool for Hospitals

Jun 2018

  • Viz.ai and Erlanger Health System Partner to Bring Innovative Artificial Intelligence to Stroke Care
 
 

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David Golan


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Dr Chris Mansi


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Manoj Ramachandran


Manoj Ramachandran
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Julie Skaff


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