AI software firm Brainomix is collaborating with Nanoflex Robotics AG, a remote robotic surgical company based in Switzerland, to develop an AI-powered integrated remote stroke diagnosis and treatment platform.
The companies are working on the platform as part of a grant under the U.K.-Switzerland Bilareral: Collaborative R&D program. The grant was administered by Innovate UK, the U.K.'s innovation agency, and Innosuisse, Switzerland's Innovation Agency. It totals 400,000 pounds ($487,280) and 400,000 Swiss francs ($440,300), respectively.
The companies in 2024 will start work on the development of an AI-assisted magnetic navigation system for robotic surgical tools. The project will leverage Brainomix's AI-enabled diagnostic imaging capabilities and Nanoflex Robotics’ magnetic navigation technology to create an assisted navigation feature for interventional devices, such as catheters, as it moves through the vascular network.
Nanoflex Robotics said its first product will be a mobile robotics system that uses ultraflexible guidewires to enable direct steering control of the tip. This gives physicians control and dexterity over a range of complex interventions.
![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.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)
![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.auntminnie.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)
