Zebra Medical Vision has received regulatory approval in Europe allowing the use of an algorithm capable of detecting intercranial hemorrhages, or brain bleeds of different kinds.
The company, based in Israel, received a CE marking for the new algorithm. CE is a certification mark that indicates conformity with health, safety and environmental protection standards for products sold within the European Economic Area (EEA).
The company plans to deploy the algorithm for point-of-care detection and for worklist prioritization, helping physicians identify bleeds more accurately.
The algorithm from Zebra Medical will be included in its growing Deep Learning Imaging Analytics platform. The algorithm is the latest addition to other automated tools announced in the past as part of its “All-In-One” AI1 business model, among them algorithms that automatically detect low bone mineral density, vertebral fractures, fatty liver, coronary artery calcium, emphysema and more.
The timely detection of brain bleeds is critical in initiating quick treatment. Research has shown that such bleeds are missed anywhere between 12 percent and 51 percent of the time, and nearly 6 million people die every year of brain bleed-related conditions. Such wide variability results in significantly reduced quality of patient care. Zebra Medical’s algorithm can identify such bleeds and provide a safety net for physicians in acute care settings.
Zebra Medical works with millions of imaging and correlated clinical records to create high-performance algorithms that automatically detect medical conditions faster. The company hopes to eventually develop automated findings and insights to help radiologists provide more comprehensive, accurate outcomes.
“This new algorithm is an important addition to Zebra’s Analytics Engine,” says Mike Phillips, chief of clinical and outreach services, and a neuro-radiologist at Intermountain Healthcare, an integrated delivery system that last year formed a partnership with the company. The purpose of the partnership is to integrate machine learning in medical imaging analysis.
“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,” Phillips adds.
“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,” says Elad Benjamin, co-founder and CEO of Zebra Medical. “This helps take PACS and worklist management systems to the next level in helping radiologists manage patient care, all in a transparent and globally affordable business model.”
Register or login for access to this item and much more
All Health Data Management content is archived after seven days.
Community members receive:
- All recent and archived articles
- Conference offers and updates
- A full menu of enewsletter options
- Web seminars, white papers, ebooks
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access