AWS for Industries
AWS at RSNA 2025

As healthcare leaders and radiologists from around the world gather at the Radiological Society of North America (RSNA) Annual Meeting, Amazon Web Services (AWS) is proud to showcase how cloud technology is revolutionizing medical imaging. In an era where diagnostic precision and clinical efficiency are paramount healthcare organizations are leveraging the secure, scalable infrastructure of AWS. They are also utilizing AWS purpose-built solutions, and AWS Partner solutions to access, store, and process massive imaging datasets, deploy AI-assisted workflow tools, and enable seamless collaboration across care teams.
AWS, recognized as the 2025 Best in KLAS for Public Cloud, will showcase transformative healthcare solutions that are helping healthcare providers. These solutions accelerate time to diagnosis, enhance patient care plans, and reduce operational costs while maintaining the highest standards of data security and compliance. AWS experts will also be on hand to answer questions about your unique needs and available to schedule meetings with.
We invite healthcare professionals to join us at RSNA for our comprehensive lineup of booth presentations, hands-on demonstrations, expert-led sessions, and networking opportunities. You can discover firsthand how AWS is empowering medical imaging innovation across healthcare.
Featured presentation:
An AI-based disease classification tool for Spine X-Rays
December 1, 2025 | 12:45 PM – 1:15 PM | Poster Presentation Session
Don’t miss the technical poster session featuring Vikash Gupta, Ph.D., CIIP, Senior AI/ML SA, presenting an AI-based disease classification tool for spine x-rays. The session will include research that demonstrates the advantages of using multiple specialized AI models over a single large foundation model for clinical applications. It underscores the importance of AI services (such as Amazon SageMaker AI) that bring together a broad set of tools to enable high-performance, low-cost AI model development.
AWS booth 4148
Visit AWS at booth 4148 in the South Hall, Level 3 to discover how AWS and our Partners are revolutionizing medical imaging in three key innovation areas:
- Generative AI-driven radiology workflows: Discover how AWS is addressing radiologist shortages and workflow challenges through innovative AI solutions. Our demonstrations showcase the robust model customization capabilities of Amazon Bedrock, combined with its advanced Retrieval Augmented Generation (RAG) framework, enables fine-tuning of foundation models with institutional protocols and clinical knowledge bases. See how Amazon SageMaker AI makes it quick to train, customize, and deploy specialized foundation models for radiology and pathology with fully managed infrastructure, tools, and workflows.
- Unified Enterprise Imaging: Experience how AWS HealthImaging is transforming healthcare organizations’ ability to manage expanding imaging data. It can reduce image ingestion and retrieval times by over 40%, cut storage costs by nearly 50%, and improve radiologist time-to-interpretation by 42%. See our latest feature enabling direct import of proprietary digital pathology formats into DICOM, creating a truly unified imaging database.
- AI-powered patient access and care: Learn how AWS solutions, including AWS HealthLake, AWS HealthOmics, Amazon Connect, and Amazon One are delivering measurable improvements in patient engagement and operational efficiency. Learn how Jupiter Medical Center achieved a 60% decrease in radiology appointment backlogs using AWS solutions.
Partner showcase
We will also host demonstrations from industry-leading AWS Partners:
- Clearpath will showcase how healthcare organizations can automate their legal, billing, and imaging request workflows. Clearpath closes interoperability gaps by streamlining patient and provider imaging and report exchange, creating a more seamless, modern experience for every stakeholder. Their solution empowers organizations to eliminate manual processes, accelerate access, and deliver a connected healthcare ecosystem. Clearpath built a secure, scalable, and serverless platform on AWS using services including Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon Simple Storage Service (Amazon S3) to enable high-performance interoperability, automation, and real-time data exchange across healthcare organizations.
- Datamonk automates medical imaging migrations using agentic AI. The platform, built on AWS, detects and fixes data quality issues during PACS migrations, delivering up to 10× faster go-live times with improved data quality. We’re currently working with leading PACS vendors to migrate decades of imaging data to the cloud.
- deepc will demonstrate deepcOS, an enterprise agentic AI infrastructure that orchestrates clinical AI workflows and multimodal data processing across healthcare systems. Built on AWS for scalable, compliant cloud-based AI hosting and inference, deepcOS also leverages AWS generative AI services to enable real-time, compliant reasoning and autonomous agentic workflows for radiology and diagnostics. deepcOS is deployed with leading health systems worldwide.
- DeepHealth will be demonstrating both their TechLive™ and Vendor Neutral Archive (VNA) solutions. By leveraging Amazon Chime SDK, their solution TechLive delivers remote radiology workflows with real-time communication and control of compatible scanners (including MR, US, CT and Pet-CT) in a scalable, secure, and HIPAA-compliant way. In their demo, DeepHealth will showcase how RadNet has decreased MR room closures by up to 42% and increased access to complex procedures by 27% with TechLive. Additionally, DeepHealth VNA on AWS unifies imaging data across systems, with DeepHealth PACS enabling true VNA for standards-based, multi-vendor access across sites. Built on our cloud-native DeepHealth OS, the solution integrates effortlessly with third-party systems to deliver fast, secure data access—without costly migrations or downtime.
- Fujifilm will be showcasing its cloud-based, AI-enabled Synapse portfolio. The Synapse enterprise imaging portfolio of Fujifilm features a broad range of solutions that can be deployed on AWS. The portfolio provides enterprises with the single-vendor system they need to address legacy system inefficiencies, alleviate storage costs, and deliver one holistic view of the patient to clinical care teams.
- John Snow Labs will demonstrate their Total Patient Journey and DICOM De-identification that use state-of-the-art medical vision language models, regulatory grade healthcare-specific data de-identification, curation pipelines, and clinical question-answering models, leveraging AWS HealthImaging and AWS HealthLake.
- Konica Minolta will be showcasing their Exa® Platform, the foundation for their industry leading Exa PACS and Exa RIS, for viewing and storing medical images. The Exa Platform uses AWS HealthImaging to deliver to customers sub-second image retrieval with cost effective, tiered long-term storage with enterprise scalability. With AWS HealthImaging, customers own and control their data for multivendor use for AI, business intelligence and monetization.
- Mach7 will be demonstrating their Enterprise Diagnostic Viewing platform to provide a complete PACS and enterprise imaging workflow to truly cloud-enable medical imaging. The Mach7 system integrates directly with AWS HealthImaging, providing a comprehensive suite of tools to orchestrate and manage changes to DICOM data and related workflows (such as, HL7) across the enterprise. It also provides fast, direct, end-user access to images on AWS HealthImaging through the zero-footprint, full-featured eUnity diagnostic viewer. This provides the clinician with a comprehensive view of a patient’s medical imaging history to enable better patient care.
- MedDream and Velmeni have partnered to transform dental workflows through an AI-powered imaging solution built on AWS HealthImaging. The integration combines the advanced AI analysis capabilities for panoramic dental x-rays of Velmeni with the zero-footprint DICOM viewer of MedDream. It enables automatic segmentation and detection of key anatomical features in panoramic radiographs. This solution helps dentists identify and analyze critical anatomical relationships, such as tooth root positioning and the mandibular nerve canal, with unprecedented accuracy and efficiency. By automating the analysis of these images, the partnership streamlines diagnostic workflows from hours to minutes, enhancing the speed and accuracy of clinical assessments. This AI-powered diagnostic workflow running on AWS can be readily adapted for other medical imaging specialties, enhancing healthcare professionals’ ability to deliver efficient, accurate diagnoses.
- Medicom will showcase SMART on FHIR Checkpoint and SMART on FHIR Patient Sharing, which solve key imaging interoperability challenges. Built on AWS HealthImaging and AWS HealthLake, these tools integrate directly into the EHR to create a unified workflow for managing and reconciling incoming imaging data and facilitate patient-directed sharing.
- Philips will demonstrate HealthSuite Imaging, which leverages AWS to deliver cloud-based archiving, image sharing, diagnostic reading and reporting, result distribution and workflow management radiology services into one modular offering.
- Radiology Partners (RadPartners) will showcase Mosaic Drafting, powered by the multimodal foundation model of Cognita and trained and operated on AWS. It is available exclusively through Mosaic Clinical Technologies™ and MosaicOS™. This solution interprets X-rays and CTs, and drafts report statements for physicians to review, edit, and sign-off. Cognita is currently seeking FDA approval for the solutions that make up Mosaic Drafting.
- Radpoint Platform is a comprehensive RIS and PACS-class system operating on AWS that supports diagnostic centers in their daily work—from registration, through study reporting, to result delivery to patients. With seamless access to over 20 teleradiology providers, a built-in web diagnostic viewer, and advanced analytics, users gain full control over the diagnostic process in one place. The intelligent study reporting assistant, Radpoint Aura AI, powered by Amazon Bedrock, significantly reduces radiologists’ working time and enhances diagnostic precision.
- RapidAI will demonstrate how its AI-driven imaging and workflow solutions are transforming radiology programs nationwide. Leveraging AWS, Rapid Navigator Pro™ uses deep clinical AI to deliver actionable insights and workflow efficiencies that help reduce cognitive burden and enhance performance. With a footprint in more than 2,250 hospitals across 100 countries and trusted by leading health systems, RapidAI is a clinically validated AI platform in healthcare, backed by over 700 peer-reviewed studies.
Meet with AWS experts
AWS experts will be available throughout the conference for personalized discussions about your medical imaging challenges and opportunities. Learn how the comprehensive healthcare cloud solutions of AWS can help your organization achieve better patient outcomes, while optimizing operational efficiency.
Haven’t registered for RSNA yet? There’s still time, register now.
Schedule a meeting with an AWS expert at RSNA.
We look forward to collaborating with you on the future of medical imaging at RSNA 2025!
HEALTHCARE AI MODEL DISCLAIMER: AI models and tools are for research and model development only. Not for clinical deployment, clinical decision support, diagnosis, or treatment. Performance not validated for medical applications.
Further reading
- Event-driven medical imaging with AWS HealthImaging and Amazon EventBridge
- Validate radiology reports using Amazon Nova
- Evaluate healthcare generative AI applications using LLM-as-a-judge on AWS
- Simplifying Medical Imaging AI Deployments with NVIDIA NIMs and AWS Services
- How CIMAR’s platform enables a national lung cancer screening program at scale, powered by AWS
- JMC transforms patient experience using Amazon Connect and Epic on AWS