Viz AI is a Medical Imaging Healthcare company that offers an artificial intelligence-based tool for disease detection and workflow optimization.
The company, which was founded in 2016 by David Golan and neurosurgeon Dr. Chris Mansi, was listed by Forbes in 2021 as one of the 25 venture-backed start-ups most likely to achieve unicorn status.
A short history of Viz AI
Viz AI was inspired by a patient known to Mansi who, despite undergoing successful brain surgery, passed away because too much time had elapsed before she was moved to the operating room. As a doctor, Mansi knew systemic (but preventable) process delays had undermined the efforts of the patient’s care team and ultimately caused her death.
While studying for his MBA at Harvard Business School, Mansi happened to meet David Golan – an Israeli machine learning post-doc who had recently been discharged from hospital after a suspected stroke.
The pair soon bonded over a perceived lack of data in stroke care and decided that AI could be used to make processes faster and smarter. They took this idea to Eric Schmidt – of whom Mansi was a student – with the Google CEO’s Innovation Endeavors leading a round of seed funding worth $7.5 million.
How does Viz’s AI-powered stroke software work?
While the reasons for a stroke sufferer not receiving timely care are varied, Mansi wanted to turn the existing push Model (with numerous steps, handovers, and hours-long delays) into one where decisions could be made within a matter of minutes.
This, he posited, could be facilitated with AI: “What if within a minute of the scan, an algorithm would read that scan and alert the right neurologist or neuro interventionalist so they could go, yes, these images show a patient who I could potentially treat, let’s transfer them over.”
The company’s AI software reads both CT and MRI scans and then sends an alert to the relevant stroke team if it recognizes a specific pattern indicative of a stroke. Each neural network is trained on a vast database of medical imagery from a period of around 10 years.
Every member of this team – usually comprised of a neurologist, neuro interventionist, radiologist, and ER physician – can see the patient scan at the same time and confer within minutes to devise a treatment plan.
Importantly, specific compression algorithms also ensure that scans can be properly analyzed on smartphones or when cellular network service is inadequate.
What other solutions does Viz offer?
Viz has since expanded to other time-sensitive contexts where diagnostic imagery is used. To that end, the company now offers solutions in two categories.
1 – AI-powered care coordination
In the coordination of care, Viz offers four solutions:
- Viz Trauma Suite – for trauma care providers.
- Viz Cardio Suite – with AI-powered diagnostic tools for pulmonary embolism and aortic disease.
- Radiology Suite – a scalable, cloud-based solution integrated into radiology workflows, and
- Neuro Suite – for neurological conditions such as aneurysms, intracranial hemorrhage, subdural, and large vessel occlusions.
2 – AI-powered workflows
Viz also offers numerous AI-powered workflows that form part of a patient’s care coordination:
- Viz LVO – the only clinically approved tech that can detect and triage patients with suspected large vessel occlusions (LVOs).
- Viz Aneurysm – for aneurysm detection and follow-up.
- Viz PE – for pulmonary embolism care coordination.
- Viz CTP – a smartphone tool that utilizes advanced imaging technology to produce and analyze images of the brain.
- Viz Subdural – an AI-assisted detection tool for acute and chronic subdural hematoma.
- Viz Connect – a workflow optimizer for cryptogenic stroke patients who require multidisciplinary care from both brain and heart specialists, and
- Viz ICH – an automated detector of early intracerebral hemorrhage (ICH).
Key takeaways:
- Viz AI is a medical imaging healthcare company that offers an artificial intelligence-based tool for disease detection and workflow optimization. The company was founded in 2016 by David Golan and neurosurgeon Dr. Chris Mansi.
- While the reasons for a stroke sufferer not receiving timely care are varied, Mansi wanted to transition from the inefficient push model (with numerous steps and handovers) to one where decisions could be made within minutes. He posited that this could only be done with artificial intelligence.
- Viz AI now also provides AI solutions for numerous other applications such as trauma care, early disease detection, cardiac care, and various neurological conditions. The company also sells AI-powered workflows for detection, triage, multidisciplinary care, and other purposes.
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