2 AI algorithms designed to flag acute conditions gain CE mark
Zebra Medical Vision, a Shefayim, Israel-based medical imaging analytics company, announced that it has received CE certification for two AI-based algorithms aimed at improving care in the emergency department (ED).
The algorithms are designed to reduce turnaround times for radiologists and ED staff by identifying and diagnosing acute conditions such as brain bleeds in CT scans and pneumothorax in chest x-rays.
The technology can connect to any hospital's PACS system, according to the company. It can be deployed either on site or via cloud technology. When an acute condition is detected, a standard HL7 message will alert the the appropriate worklist.
“In a clinical validation study we performed, Zebra-med’s acute CXR pneumothorax and CT brain bleed products demonstrated a promising potential to substantially reduce turnaround time and increase the radiologist's confidence in making these diagnoses,” Terence Matalon, MD, chairman of diagnostic radiology at Einstein Medical Center in Philadelphia, said in a prepared statement. "Seeing the software in action emphasized key aspects AI solutions must address in order impact our field: high accuracy, speed, seamless integration to our workflow, and the ability to work on multi modalities—both x-ray and CT."
The solutions are now commercially available in Europe as Zebra Medical Vision awaits FDA clearance in the United States.
A recent graduate from Dominican University (IL) with a bachelor’s in journalism, Melissa joined TriMed’s Chicago team in 2017 covering all aspects of health imaging. She’s a fan of singing and playing guitar, elephants, a good cup of tea, and her golden retriever Cooper.