A google case study: Revolutionizing stroke care with Google Cloud
NICO.LAB built its StrokeViewer tool on Google Cloud, using TensorFlow to build ML models and powerful, scalable processing on Compute Engine to reduce image analysis to under three minutes.
Google Cloud results
- Processes images in under three minutes with custom-configured GPUs on Compute Engine that launch quickly
- Ensures easy implementation in any hospital, thanks to a cloud-based, scalable infrastructure that requires no additional hardware
- Accelerates time to treatment and improves patient outcome, verified by recent studies
Around one in four people will suffer a stroke in their lifetime. Beyond the huge financial burden, with strokes costing healthcare providers €60 billion in Europe and $72 billion in the US, strokes carry an enormous human cost, often leading to death or permanent disabilities. With an aging population, stroke numbers continue to increase, creating mounting pressure on healthcare professionals. In response, Dutch company NICO.LAB developed StrokeViewer, a solution that empowers physicians on every step of the stroke workflow. It connects human and artificial intelligence to ensure every patient is provided with the right treatment, in time.
When a stroke patient arrives at the hospital, the clinician first needs to determine if it’s an ischemic stroke, where there’s a chance for treatment. The blood clot in the brain needs to be located as quickly as possible. “Every additional minute between stroke and treatment affects the patient’s outcome,” explains Merel Boers, co-founder and CEO at NICO.LAB. “Every hour spent waiting for treatment equates to a loss of four healthy living years.”
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“NICO.LAB was created to transform cutting-edge academic research into products that can be successfully integrated within clinical contexts. Google Cloud technology gives us all the tools we need to deliver StrokeViewer on a software-as-a-service basis: speed, accuracy, and easy scaling.”Renan Sales Barrosco-founder and CTO