World’s First AI-Based Algorithms for ED Receive CE Certification

The artificial intelligence (AI) technology can flag time-critical cases such as pneumothorax in chest X-rays and brain bleeds in CT scans. The technology reduces the time it takes radiologists and ER staff to spot acute conditions by 80%, which in turn, improves the quality and timeliness of treatment.

Zebra-Med is a deep learning imaging analytics company that uses deep learning to create and provide next generation products and services to the healthcare industry. Its Imaging Analytics Platform allows healthcare institutions to identify patients at risk of disease, and offers improved, preventative treatment pathways to improve patient care.

The Zebra-Med imaging analytics engine connects to any PACS system and analyzes relevant scans with corresponding algorithms. Once an acute condition is detected, a standard HL7 message alerts the hospitals’ various systems, such as the radiology department or ER department worklists. Each hospital can customize the way the alert is presented in the worklist, either with color-coding or priority ranking. The technology can be deployed on-premise or via the cloud, and neither method compromises the radiology core workflow, originally acquired images, or risks breaching protected health information data laws.

“Our acute-findings line of products emphasizes the Zebra Medical Vision team’s dedication to providing AI solutions to the majority of radiology departments worldwide who are reading and reporting more than just one modality,” said Eyal Gura, Zebra-Med’s CEO and Co-Founder. “We are thrilled to make this solution available today to hospitals across Europe that work with the many PACS and worklist systems that already integrate Zebra-Med’s software.”

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