Siemens Healthineers has adopted NVIDIA's MONAI Deploy, a module within its open-source research and development platform MONAI that aims to integrate AI workflows for medical imaging into clinical use.
MONAI Deploy builds AI applications with a few lines of code that can run anywhere, NVIDIA said. The module is a tool for developing, packaging, testing, deploying, and running medical AI applications in clinical production.
MONAI Deploy on the Siemens Healthineers platform aims to reduce the time required to port trained AI models into real-world clinical settings. This feature's goal is to help researchers, entrepreneurs, and startups get their applications into the hands of radiologists more quickly.
NVIDIA said these apps can be provided and used on the Siemens Healthineers Digital Marketplace.
![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)
