We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

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

By MedImaging International staff writers
Posted on 20 Mar 2019
Print article
Zebra Medical Vision (Kibbutz Shefayim Israel) has received two new CE marked registrations for its deep learning algorithms that help radiologists and Emergency Room (ER) staff to prioritize acute conditions for the first time in both CT scans and X-rays and reduce reports turnaround time (RTAT). 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.”

Related Links:
Zebra Medical Vision

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Thyroid Shield
Standard Thyroid Shield
New
Ceiling-Mounted Digital Radiography System
Radiography 5000 C
New
Ultrasound System
P20 Elite

Print article
Radcal

Channels

MRI

view channel
Image: The emerging role of MRI alongside PSA testing is redefining prostate cancer diagnostics (Photo courtesy of 123RF)

Combining MRI with PSA Testing Improves Clinical Outcomes for Prostate Cancer Patients

Prostate cancer is a leading health concern globally, consistently being one of the most common types of cancer among men and a major cause of cancer-related deaths. In the United States, it is the most... Read more

Nuclear Medicine

view channel
Image: The new SPECT/CT technique demonstrated impressive biomarker identification (Journal of Nuclear Medicine: doi.org/10.2967/jnumed.123.267189)

New SPECT/CT Technique Could Change Imaging Practices and Increase Patient Access

The development of lead-212 (212Pb)-PSMA–based targeted alpha therapy (TAT) is garnering significant interest in treating patients with metastatic castration-resistant prostate cancer. The imaging of 212Pb,... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more