SimonMed Expands AI-Enhanced MRI with SwiftMR Deployment

SimonMed has deployed AIRS Medical’s AI-powered SwiftMR solution across its nationwide imaging network to improve MRI image quality, reduce scan times, and support workflow efficiency across a multi-vendor MRI infrastructure.

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SimonMed Deploys AI MRI Enhancement Platform Across National Network

SimonMed, one of the largest independent outpatient imaging providers in the United States, has announced the enterprise-wide deployment of AIRS Medical’s SwiftMR, an FDA-cleared AI solution designed to enhance MRI imaging.

According to the company, the rollout follows an evaluation of multiple MRI artificial intelligence platforms and forms part of SimonMed’s broader strategy to improve imaging quality, patient access, and workflow consistency across its national imaging network.

AI-Enhanced MRI to Support Workflow Efficiency

As MRI demand continues to increase, imaging providers are facing growing pressure to deliver shorter scan times while maintaining diagnostic image quality. SimonMed stated that the implementation of SwiftMR is intended to support faster MRI workflows, improve image clarity, and create greater consistency across scanner environments.

“AI in imaging has reached a point where it can meaningfully elevate both the quality and accessibility of care, but only if deployed thoughtfully at scale,” said Dr. Sean Raj, MD, chief medical officer and chief innovation officer of SimonMed.

“We chose AIRS Medical because their technology consistently delivered high-quality images, the most reliable performance across diverse scanner environments, and the greatest potential to improve the patient experience. Shorter scan times, clearer images and more consistent studies across our network directly translate into better, faster answers for patients. That’s the bar we hold ourselves to.”

Vendor-Neutral MRI AI Across Multi-Vendor Infrastructure

SwiftMR is designed as a vendor-neutral MRI AI solution, enabling deployment across scanners from different manufacturers without requiring additional hardware investments.

SimonMed operates one of the largest outpatient imaging infrastructures in the U.S., including a broad range of MRI systems and clinical environments. According to the company, the ability to integrate AI imaging software consistently across a multi-vendor MRI fleet was a key consideration in the deployment process.

The solution uses artificial intelligence to enhance MRI image reconstruction, supporting improved image quality while helping reduce acquisition times.

Enterprise Imaging and AI Strategy

The deployment of SwiftMR is part of SimonMed’s broader enterprise imaging and AI integration strategy. The organization stated that it is continuing to expand the use of advanced AI technologies across diagnostic imaging workflows and preventive imaging programs.

The growing adoption of AI-enhanced MRI technologies reflects wider industry efforts to improve operational efficiency, imaging standardization, and patient throughput while supporting radiologists and technologists in high-demand imaging environments.

Focus on Patient Experience and Imaging Consistency

According to SimonMed, the enterprise-wide rollout aims to strengthen imaging consistency across its network and improve the patient experience through shorter MRI appointments and enhanced image quality.

The company emphasized that scalable AI deployment across outpatient imaging centers requires solutions capable of reliable performance across varying scanner types and clinical settings.

Source: SimonMed

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