Big-data visualization software developer Zebra Medical Vision has received the CE Mark for its deep-learning analytics engine, and it is now available in Europe.
The Zebra-Med engine can currently analyze CT data for signs of fatty liver, excess coronary calcium, emphysema, low bone density, and vertebral compression fractures, according to the vendor. It can be integrated into PACS, RIS, reporting, and electronic medical record software.
In addition, the engine has received regulatory clearance in Australia and New Zealand, according to Zebra. More than a dozen new algorithms are expected to be added to the platform in the coming months, the company stated.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
