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Zebra Medical's new brain bleed detection algorithm scores CE mark

por Lauren Dubinsky, Senior Reporter | March 08, 2018
Artificial Intelligence Health IT Stroke
Part of the company's AI1 business model
Zebra Medical Vision announced on Monday that it received CE mark for its brain bleed detection algorithm to be integrated into its Deep Learning Imaging Analytics platform.

This is part of the company’s AI1 business model that provides health care providers with access to its current and future algorithms for one dollar per scan.

“This new algorithm is an important addition to Zebra’s Analytics Engine,” says Dr. Mike Phillips, chief of clinical and outreach services at Intermountain Healthcare, said in a statement. “The ability to alert radiologists and surgeons to the presence of brain bleeds is critical, and will bring significant benefits in patient care to health care organizations.”
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Since its inception in October, it has grown to offer algorithms for automatically detecting low bone mineral density, vertebral fractures, fatty liver, coronary artery calcium, emphysema and more.

The new algorithm is capable of detecting a type of brain bleed called intracranial hemorrhage, which occurs when there is bleeding inside the skull. Almost six million people die every year from brain bleed-related conditions, according to the World Stroke Organization.

This is Zebra Medical’s first acute care algorithm. The company plans to deploy it for point of care detection and work list prioritization, so radiologists can better manage their workload.

In the coming months, the company plans to launch several additional “high impact” algorithms. To date, AI1 has been used to evaluate over one million scans in more than five countries.

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