U.K. medical imaging software company Brainomix is partnering with the University of Oxford on a government-funded project valued at 17.5 million pounds.
Brainomix will demonstrate the economic health benefits of its artificial intelligence(AI)-based e-Stroke Suite imaging software solution for routine clinical use at stroke units and hospitals worldwide.
U.K. Research and Innovation will fund the National Consortium of Intelligent Medical Imaging, led by the University of Oxford, as part of the Industrial Strategy Challenge Fund. The funds are part of a 50 million pound project that will include the launch of five centers across the U.K., brining bring together businesses, physicians, and academia to develop products based on AI and digital technology to improve patient care and hasten diagnoses.
![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)
