RapidAI and Amazon Web Services (AWS) have announced at RSNA 2025 that they are strengthening their existing working relationship through additional projects.
The companies said that they are codeveloping advanced AI tools and foundational model infrastructure.
By combining AWS’s scalable AI pipelines with RapidAI's deep clinical intelligence and disease-specific expertise, the expanded relationship aims to deliver more adaptive and clinically-validated AI designed to improve diagnostic precision, streamline workflows, and expand access to life-saving technologies worldwide, the firms added.
RapidAI will be featured in the AWS booth showcasing the Rapid Edge Cloud, a cloud-native platform.
![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)
