Viz.ai
@viz.ai
Viz.ai uses artificial intelligence to make the healthcare system work faster and smarter.
Viz.ai's Company Logos
Viz.ai's Brand Colors
Hex Code
Color name
RGB
HSL
CMYK
#FFD01F
Candlelight
255, 208, 31
47, 100, 56
0, 18, 88, 0
#FFFFFF
White
255, 255, 255
0, 0, 100
0, 0, 0, 0
#0F2C6C
Madison
15, 44, 108
221, 76, 24
86, 59, 0, 58
About Viz.ai
Viz. ai is a leading brand in the field of AI-powered care coordination. Trusted by 1,400 hospitals, Viz.
ai offers a comprehensive solution that bridges the gap between patients, clinicians, and life-saving treatments. Their advanced FDA-cleared algorithms analyze medical imaging data, such as CT scans, EKGs, and echocardiograms, providing real-time insights and automated assessments to accelerate diagnosis and treatment. With Viz.
ai One, their revolutionary AI-powered care coordination solution, they aim to transform the delivery of patient care. This clinically validated solution significantly saves time and improves patient outcomes, ultimately leading to better economic outcomes as well. The all-in-one solution can auto-detect suspected diseases across various therapeutic areas in mere seconds.
Viz. ai offers different AI-powered suites tailored to specific healthcare needs, including Viz Neuro for neurovascular diseases, Viz Cardio for cardiovascular needs, Viz Vascular for vascular medicine, Viz Trauma for trauma center guidelines, and Viz Radiology for accelerated patient diagnosis and treatment. Customers have praised Viz.
ai for its potential to revolutionize patient care, and healthcare professionals appreciate how it alerts them to potential life-threatening conditions quickly and efficiently. Viz. ai also offers optimization tools for life sciences, real-time communications, and dedicated support from a team of experts.
Experience the power of AI in healthcare by requesting a demo from Viz. ai and witness the transformation it can bring to your organization
Related Brands
Tags
Ai care coordination platform
Ehr-integrated clinical workflows
Medical imaging ai
Clinical decision support
