Israeli machine-learning radiology firm Zebra Medical Vision said today it won CE Mark approval in the European Union for an algorithm for detecting intracranial hemorrhages as part of its deep learning imaging analytics platform.
Zebra Medical said that its algorithm is designed to identify brain bleeds to provide extra support for physicians in acute care settings, and that it plans to use the algorithm for point-of-care detection to identify bleeds accurately and with reduced delay.
“This new algorithm is an important addition to Zebra’s Analytics Engine. The ability to alert radiologists and surgeons to the presence of brain bleeds is critical, and will bring significant benefits in patient care to healthcare organizations,” Dr. Mike Phillips of Intermountain Healthcare said in a prepared statement.
The company said it is developing algorithms that detect low bone mineral density, vertebral fractures, fatty liver, coronary artery calcium, emphysema and other condition.
“We’re excited to announce our first acute care algorithm with the potential to help radiologists better manage their workload, and properly prioritize urgent cases over others. This helps take PACS & Worklist management systems to the next level in helping radiologists manage patient care, all in a transparent and globally affordable business model. Over the next few months we plan to release several more high impact algorithms, on our path to provide a versatile AI based automated radiology assistant,” co-founder & CEO Elad Benjamin said in a press release.
Last November, Zebra Medical said it inked a deal with Change Healthcare to produce artificial intelligence solutions for complex radiology reporting environments.
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