Technology

Viz.ai is Using Machine Learning to Detect the Early Signs of Stroke

After losing a patient to preventable delays in the healthcare system, Dr Chris Mansi founded Viz.ai to improve outcomes for stroke patients and revolutionise healthcare.

24.10.2019 | by Reve Fisher
Photo by Alina Grubnyak on Unsplash
Photo by Alina Grubnyak on Unsplash

Named as one of Forbes’ America’s Most Promising Artificial Intelligence Companies, Viz.ai has been lauded as one of the fastest-growing healthcare startups in the AI sector.

Based in San Francisco and Tel Aviv, the HealthTech company has developed the first-ever synchronised healthcare software with AI.

Using data-driven AI technology, the platform automatically detects suspected brain abnormalities in CT scans and synchronises care by alerting healthcare professionals within minutes.

“Viz.ai’s mission is to improve access to lifesaving treatments,” Viz.ai CEO Chris Mansi said in a statement. “In stroke, by saving time for the hospital system, we can achieve significant cost savings for the payer and most importantly, improved outcomes for the patient.”

Using Viz.ai’s HIPAA-compliant mobile interface, the stroke teams can then consult in real time to deliver fast treatment and, ultimately, save lives.

The company’s acute ischemic stroke software is being used in over 300 hospitals throughout the US.

Viz app showing brain scan

Viz.ai platform

“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,” said Dr J Mocco, professor and vice chair of Mount Sinai Health System’s neurosurgery department. “With stroke being the number one cause of long-term disability, every minute counts! Viz.ai is reducing the impact of this devastating disease and saving lives.”

Viz.ai was founded to address the need for a system that could save lives without wasting time. After performing surgery on a patient who died due to preventable, systemic delays in the stroke care system, Dr Mansi was determined to find a better way. He joined forces with Dr David Golan, a machine learning post-doc at Stanford Business School, to use AI to make healthcare more effective and efficient.

The company has created a series of healthcare solutions, from automatic detection of large vessel occlusions to automated CTP perfusion analysis to a secure text messaging and calling platform to coordinate patient care and treatment between hospitals. Viz LVO, the first-ever computer-aided triage and notification software, and Viz CTP have both been granted FDA clearance.

The startup raised $50 million Series B funding in a round led by Greenoaks, with participation from Threshold Ventures, CRV, GV and Kleiner Perkins.

“We see Viz.ai as the future of how healthcare is delivered,” said Neil Shah of Greenoaks. “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.”

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