Viz.ai - the world leader in AI-driven intelligent care coordination, today announced the U.S. commercial launch of its AI-powered modules for pulmonary embolism and aortic disease.
SAN FRANCISCO & ORLANDO, Fla.--(BUSINESS WIRE)-- Viz.ai - the world leader in AI-driven intelligent care coordination, today announced the U.S. commercial launch of its AI-powered modules for pulmonary embolism and aortic disease. Debuting at the 48th annual VEITHsymposium November 16 – 20 in Orlando, Fla., the new modules allow for faster clinical decision making and improved care coordination for patients suffering from these two life-threatening conditions.
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Diagnosis and care coordination of patients suffering from pulmonary embolism (PE) can be challenging, with the average arrival-to-treatment times lasting more than 8 hours. Viz.ai uses deep learning to identify suspected pulmonary embolism disease in under two minutes. Viz.ai’s high resolution 3D mobile viewer enables dynamic visualization of the anatomy, allowing physicians to speed up clinical decision making and improve care coordination for patients. The viewer for the Viz PE module is shown here.
Diagnosis and care coordination of patients suffering from PE and aortic disease can be challenging, with the average arrival-to-treatment times lasting more than 8 hours for these emergent conditions.1 Viz.ai uses deep learning to identify suspected aortic dissection and pulmonary embolism disease in under two minutes.2 The modules are designed to ensure that the right clinical decision is made at the right time, no matter where the patient resides in the healthcare system, to ensure quick and appropriate care. Viz.ai is the only software company to offer an AI-powered care coordination solution for stroke, aortic disease, and pulmonary embolism.
The new modules leverage advanced deep learning to communicate time-sensitive information, including advanced imaging studies and real time clinical information, to specialists who can more quickly and easily make treatment decisions for the patient. Users can access all aortic and pulmonary imaging from the cloud, enabling care coordination regardless of geography.
“This technology has changed the way we triage and treat stroke patients, dramatically improving their care,” said Dr. Richard Saxon, interventional radiologist at Tri-City and Palomar Health, San Marcos, Calif. “In a similar fashion, I believe the Viz.ai PE and Aortic modules will enhance image interpretation with AI, dramatically improve the quality and speed of mobile image viewing, and improve caregiver communication. This is truly the care coordination of the future.”
Viz.ai is the leader in AI-powered care coordination and has accelerated the time-to-notification of the treatment team by 73 percent and time-to-treatment by 24 percent.3 The Viz Platform is now utilized in over 850 hospitals across the U.S. and Europe and touches almost two patients every minute.
“The launch of these two new modules brings the power of the Viz Platform to a vast new faction of medical professionals and patients battling life-threatening conditions,” said Dr. Chris Mansi, Viz.ai CEO and co-founder. “This is a significant milestone in our mission to fundamentally improve how healthcare is delivered in the world.”
Viz.ai will be showcasing the new AI-powered PE and aortic disease modules at VEITHsymposium Booth # 317.
About Pulmonary Embolism and Aortic Disease
Pulmonary embolism (PE) is a potentially deadly form of venous thromboembolic disease affecting over 600,000 people worldwide. It is a common cause of cardiovascular death and is associated with multiple inherited and acquired risk factors affecting hundreds of thousands of people every year globally. PE occurs when a blood clot gets lodged in an artery in the lung, blocking blood flow to part of the lung.
The aorta is the body’s main artery and aortic emergencies are time sensitive and deadly. Aortic emergencies include dissection, rupture, and transections. These conditions are a result of acute damage to the aorta where it may tear or burst. Blood flow to the entire body may be limited, requiring emergent intervention.
About Viz.ai, Inc.
Viz.ai is the leader in AI-driven intelligent care coordination. Viz.ai’s mission is to fundamentally improve how healthcare is delivered in the world, through intelligent software that promises to reduce time to treatment, improve access to care, and increase the speed of diffusion of medical innovation. Viz.ai’s clinically validated platform leverages advanced deep learning to communicate time-sensitive information to specialists who can more quickly and easily make treatment decisions for the patient.
Viz.ai is located in San Francisco and Tel Aviv and backed by leading Silicon Valley investors, including Kleiner Perkins, Google Ventures, Greenoaks, CRV, Threshold Ventures, Innovation Endeavors, Susa Ventures, Scale Venture Partners and Insight Partners. The company was named to the Forbes 2021 Next Billion-Dollar Startups list of the 25 fastest-growing venture-backed startups in 2021 and has been included in the Forbes AI 50 list for the three consecutive years.
1 Harris, K. M. et al. International Registry of Acute Aortic Dissection (IRAD) Investigators. (2011). Correlates of delayed recognition and treatment of acute type A aortic dissection: the International Registry of Acute Aortic Dissection (IRAD): The International Registry of Acute Aortic Dissection (IRAD). Circulation, 124(18), 1911–1918.
2 FDA Letter K210237
3 Elijovich L, DornbosIII D, Nickele C, et al. J NeuroIntervent Surg Epub ahead of print. doi:10.1136/ neurintsurg-2021-017714
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Contacts
MEDIA CONTACT:
Joe Duraes
Pazanga Health Communications
jduraes@pazangahealth.com
917-687-6419
Source: Viz.ai, Inc.
Smart Multimedia Gallery
Diagnosis and care coordination of patients suffering from pulmonary embolism (PE) can be challenging, with the average arrival-to-treatment times lasting more than 8 hours. Viz.ai uses deep learning to identify suspected pulmonary embolism disease in under two minutes. Viz.ai’s high resolution 3D mobile viewer enables dynamic visualization of the anatomy, allowing physicians to speed up clinical decision making and improve care coordination for patients. The viewer for the Viz PE module is shown here.
Diagnosis and care coordination of patients suffering from aortic disease can be challenging, with the average arrival-to-treatment times lasting more than 8 hours. Viz.ai uses deep learning to identify suspected aortic dissection in under two minutes. Viz.ai’s high resolution 3D mobile viewer enables dynamic visualization of the anatomy, allowing physicians to speed up clinical decision making and improve care coordination for patients. The viewer for the Viz Aortic module is shown here.