MRI AI for CIOs Who Need Enterprise Control and Scale
AIRS Medical helps CIOs scale MRI AI across mixed fleets and sites while protecting existing technology investments and reducing AI fragmentation and IT burden. We provide a defined path for integration, governance, security, and change management as adoption scales.
What CIOs Need to Evaluate Before Scaling MRI AI
For CIOs, clinical performance is only one part of the decision. MRI AI also has to fit the enterprise architecture, build on existing technology investments, meet security and governance requirements, and scale while supporting adoption across a complex IT environment.
Architectural fit
Integration with the MRI, PACS, network, and cloud environment already in place.
Investment protection
The ability to build on existing scanners and OEM AI technologies.
Security and risk management
Clear controls for data protection, access, cybersecurity, vendor risk, and regulatory requirements.
Governance and resource impact
Clear ownership for technology, data, approvals, change control, and ongoing oversight — with defined infrastructure requirements, deployment options, monitoring, support responsibilities, and the level of ongoing intervention required from IT.
Change management
Stakeholder alignment, training, workflow adoption, and support across IT, imaging, and clinical teams.
Enterprise scalability
A repeatable approach for expanding across scanners, sites, and heterogeneous MRI environments.
How AIRS Medical Supports Enterprise IT Priorities
1. Protect and Extend Existing Technology Investments
Enterprise imaging environments already represent significant investments in MRI hardware, OEM technologies, PACS, and IT infrastructure. Modernizing MRI should not require replacing viable systems or abandoning AI investments already made.
SwiftMR® works with existing MRI systems regardless of vendor or model and is FDA-cleared to work with OEM deep-learning MRI solutions. FDA-cleared SwiftSight adds quantitative analysis, reporting, and longitudinal tracking, while Body Composition extends MRI-based insights to muscle, visceral, and subcutaneous fat.
Benefits for Health Systems and Imaging Organizations
2. Reduce AI Fragmentation and Create a Plan to Scale
AI fragmentation often begins when technologies are adopted scanner by scanner, site by site, or vendor by vendor. Over time, IT is left managing multiple technology paths, integrations, security reviews, and deployment models across the same imaging environment.
SwiftMR provides a vendor-neutral, DICOM-based approach designed to work across different MRI vendors and generations, while also operating alongside existing OEM deep-learning technologies.
3. Reduce IT Burden and Manage Change
Scaling AI requires more than technical compatibility. CIOs need clarity around security, data handling, accountability, stakeholder responsibilities, and how new technology will be adopted across IT, imaging, and clinical teams.
AIRS Medical provides documented security and implementation frameworks that define technical requirements, customer and AIRS responsibilities, and the stakeholders involved in deployment.
A Centralized Scalable Solution that Natively Integrates into an Enterprise Environment
AIRS Medical solutions use a common, vendor-neutral DICOM-based architecture to connect with existing MRI and PACS environments across scanners and sites. Rather than creating a separate integration path for every scanner or AI application, IT can use a more consistent architecture for routing, processing, monitoring, and support.
Your enterprise imaging network
DICOM-based integration
AIRS Medical solutions communicate with MRI systems and PACS through DICOM, allowing them to fit within existing imaging workflows across mixed-vendor environments.
Centralized routing and seamless data flow
A common Gateway-based workflow enables AIRS Medical solutions to receive imaging data centrally and route it anywhere it needs to go within the configured imaging environment, while giving IT centralized visibility into processing, usage, and errors.
Transient data, no separate repository
AIRS Medical processes imaging data as part of the existing imaging workflow rather than creating another enterprise data repository. Sensitive patient information is removed from applicable DICOM tags before cloud processing; processed images are returned through the Gateway, where patient information is restored before routing to the configured destination.
Outbound-request architecture
The Gateway initiates outbound requests to retrieve processed data; the cloud does not initiate inbound requests into the customer network.
Centralized IT management and backend support
Once the Gateway environment is established, it provides a centralized foundation for connecting and managing AIRS Medical solutions across scanners and sites. The Gateway can be deployed through a VM within the customer environment, while AIRS Medical manages configuration, maintenance, troubleshooting, and proactive monitoring, minimizing ongoing manual intervention for IT and end users.
SwiftMR Security, Governance, and Risk Management
Built for enterprise healthcare environments, the security standards are continuously validated, with the framework addressing key requirements IT and security teams evaluate before deployment.
See the SwiftMR Information Security Whitepaper for additional detail on data security, access controls, disaster recovery, AI governance, certifications, and cyber liability coverage.
TLS 1.3 for external communications and AES-256 encryption for data at rest.
Email-based MFA, SAML 2.0 and OpenID Connect SSO, with least-privilege access controls.
AWS processing regions across multiple geographies to support regional deployment requirements.
Documented disaster recovery includes automated failover to backup environments and annual recovery exercises. AIRS Medical also maintains cyber liability insurance with a Tier-1 international carrier, reviewed and renewed annually.
Plan for Adoption and Validate Before Scaling
Deployment doesn’t end when the technology is connected. A phased approach gives IT and imaging teams an opportunity to validate connectivity, PACS routing, protocols, user workflows, and support requirements in a defined environment before expanding deployment.
SwiftMR’s implementation model provides a structured path from initial deployment through operational use:
Deploy and Validate the Integration
Establish MRI and PACS connectivity, configure protocols, and confirm the initial environment is operating as intended.
Engage and Prepare Clinical Users
MRI technologists begin using optimized protocols while radiologists provide image-quality feedback, helping teams validate workflows and support user adoption.
Optimize and Monitor the Workflow
Use technical, operational, and clinical feedback to refine protocols, workflows, and implementation requirements before broader deployment.
Measure and Scale
Evaluate pilot results and deployment requirements before scaling to additional scanners or sites.
Ready to Evaluate SwiftMR in Your MRI Environment?
Start with a focused SwiftMR pilot to validate technical fit, workflow impact, and implementation requirements before expanding across your MRI fleet.
Frequently Asked Questions
Will SwiftMR require us to replace existing MRI or OEM AI investments?
No. SwiftMR is designed to work with existing MRI systems regardless of vendor or model and can operate alongside supported OEM deep-learning MRI technologies. That allows organizations to evaluate SwiftMR as an additional layer across the existing environment rather than making scanner replacement the starting point.
How much involvement will our IT organization need?
IT involvement is concentrated around infrastructure readiness and connectivity, including network access, MRI and PACS configuration, Gateway requirements, and support during implementation. AIRS Medical or its designated partner manages the SwiftMR Gateway installation, connectivity setup, protocol optimization, user setup, and training, while the customer provides defined infrastructure access and IT support.
Can we validate SwiftMR before committing to a broader rollout?
Yes. A focused pilot allows the organization to evaluate technical integration, clinical workflows, and implementation requirements within a defined environment before making decisions about broader deployment. The current implementation framework includes connectivity, protocol setup, user training, monitoring, and radiologist feedback as part of the initial deployment process.
What happens if the cloud service is disrupted?
SwiftMR’s security framework includes a documented disaster-recovery program with recovery objectives, automated failover to backup environments, and annual disaster-recovery exercises.
What should we understand before scaling SwiftMR across the enterprise?
Scanner count is only one consideration. Enterprise planning should account for MRI and PACS connectivity, network requirements, infrastructure, security review, stakeholder responsibilities, clinical validation, and workflow adoption. The SwiftMR Implementation Guide notes that MRI-related implementation effort may increase as additional scanners are included.
AIRS Medical Solutions for Enterprise
Before adding another AI technology to your imaging environment, get in touch to learn how SwiftMR and SwiftSight could fit your:
