CLOs on the Move

Viz

www.viz.ai

 
In 2015, five seminal randomized controlled trials were published in the neurovascular space demonstrating endovascular thrombectomy to be the new gold standard for treating large vessel occlusion strokes. During that same year, advancements in artificial intelligence and deep learning made it possible to analyze medical imaging rapidly and accurately. However, despite having proven effective interventions for stroke, most stroke patients were getting treatment late or not at all. At Stanford University, Dr. Chris Mansi (neurosurgeon) and Dr. David Golan (machine learning researcher) identified this problem and together they sought to change it.
  • Number of Employees: 25-100
  • Annual Revenue: $0-1 Million
  • www.viz.ai

  • San Francisco, CA USA
  • Phone: 866.849.4980

Executives

Name Title Contact Details
Gad Sakin
 CTO Profile
Angela Lim
 Deputy General Counsel Profile

Similar Companies

Intelerad

Improving healthcare through innovative technology is at the core of Intelerad`s work. Our scalable medical imaging platform connects clinicians to a powerful imaging ecosystem that is fast, smart and tapped into the data they need, no matter their location. We`re focused on delivering a best-in-class medical image management solution that improves provider efficiency, decreases the cost of healthcare, and improves the overall health of populations.

Anachem Corp

Anachem Corp is a Fort Lauderdale, FL-based company in the Healthcare, Pharmaceuticals, and Biotech sector.

Codonix

Codonix is a Potomac, MD-based company in the Healthcare, Pharmaceuticals, and Biotech sector.

Medical Outfitters

Medical Outfitters is a Overland Park, KS-based company in the Healthcare, Pharmaceuticals, and Biotech sector.

CloudCath

CloudCath is a digital health medical device company that is dedicated to remote complication monitoring for patients undergoing catheter-based treatments. Its remote monitoring platform analyzes drainage fluid, utilizing proprietary data analysis algorithms to detect fluid property deviations, and automatically transmits notifications to healthcare providers, enabling earlier intervention in cases of catheter-associated complications like infection. CloudCath`s first product is designed for patients undergoing peritoneal dialysis.