SwiftMR

by AIRS Medical  · Based in South Korea → — AI-Powered MRI Enhancement Solution
Radiology
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Subscription-based, starting at $50,000 per scanner per year. also offers subscription plans charged per scan volume on a site level and permanent licenses set per mri scanner.
Regulatory Status Disclosed

Overview

SwiftMR by AIRS Medical is an FDA-cleared, AI-powered MRI image reconstruction software designed to significantly reduce MRI scan times by up to 50% while simultaneously enhancing image quality. It achieves this by utilizing deep learning models to denoise and sharpen images, even those acquired under accelerated conditions, without requiring any hardware upgrades to existing MRI machines.

The solution is vendor-neutral, compatible with MRI scanners from various manufacturers including Siemens, GE, Canon, Philips, and Hitachi, and supports all body parts and pulse sequences. SwiftMR integrates seamlessly with existing PACS and MRI systems, with installations typically completed rapidly, often within days. It is designed to improve patient throughput, unlock additional revenue for imaging centers, and extend the operational life of current MRI fleets.

Beyond image enhancement, AIRS Medical also offers SwiftSight for automated volumetric analysis and SwiftRead for AI-translated patient reports, providing a comprehensive AI platform for MRI.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Reduces MRI scan times by up to 50%
  • Enhances image quality (denoising, sharpening, higher resolution)
  • Vendor-neutral compatibility (Siemens, GE, Canon, Philips, Hitachi, etc.)
  • No hardware upgrades required for existing MRI machines
  • Full body and all sequences coverage
  • Seamless integration with existing PACS and MRI systems via DICOM
  • Rapid installation and deployment (days, sometimes overnight)
  • Continuous feature releases included with subscription
  • Can operate in conjunction with OEM deep learning reconstruction pipelines
  • AI-powered image reconstruction using deep learning

Use Cases

  • Increase patient throughput and operational efficiency
  • Unlock missed revenue and increase billable MRI volume
  • Extend the life and capacity of existing MRI scanners (capital avoidance)
  • Improve diagnostic detail and confidence for radiologists
  • Reduce patient discomfort and anxiety due to shorter scan times
  • Improve technologist morale and workflow

What Physicians Need to Know

DICOM Support & Standards
SwiftMR operates on DICOM format for both input and output, receiving scans from MRIs and dispatching enhanced results to PACS. It features enhanced DICOM compatibility, including improved handling of vendor-specific DICOM implementations and advanced DICOM workflow management.
PACS Integration Method
SwiftMR integrates directly into existing imaging workflows as a stand-alone third-party application. It receives DICOM files from MR devices or PACS and sends enhanced DICOM images back to PACS. Deployment options include cloud-based, hybrid, or on-premise solutions, with installation typically completed in days.
Reading Room Workflow Impact
The tool aims to accelerate MRI scans by up to 50%, leading to shorter patient scan times, increased patient throughput, and higher daily appointment capacity. Radiologists benefit from high-resolution images that support confident interpretations, and the system can reduce staff workdays while maintaining scan volume.
AI Model Architecture
SwiftMR utilizes an 'all-in-one deep learning framework for MR image reconstruction' that enhances image quality across multiple aspects of k-space sampling. Its deep learning algorithm performs both denoising and sharpening functions, improving SNR and resolution. The underlying technology achieved top scores in the 2020 fastMRI Challenge.
Processing Speed (per study)
SwiftMR typically processes studies within 1 to 10 minutes. It can reduce overall MRI scan times by up to 50%, with examples showing routine brain scans reduced from 15 to 9 minutes and full body scans with 20 minutes of time-savings.
FDA Clearance Pathway
SwiftMR has received FDA 510(k) clearance. Initial clearance was for adult brain scans in 2021, expanded in 2022 to include spine, knee, ankle, shoulder, and hip, and further expanded in 2023 for all body parts and patients, including children. It also holds CE Certification (Class IIa MDR) and other international approvals.
Supported Modalities
SwiftMR is an MRI-specific AI tool, supporting various MRI inputs including 2D, 3D, T1WI, T2WI, PDWI, FLAIR, T2*WI, contrast, MR Angiography, MR Arthrography, and MR Myelography. It is vendor-neutral and compatible with MRI scanners from any manufacturer, model, or age, covering all body parts and sequences for all patient ages.
RSNA/ACR Validation
SwiftMR has been a prominent topic at RSNA conferences, with presentations and discussions by experts on its clinical validation, impact on diagnostic accuracy, and efficiency.
Physician Tip

Consider SwiftMR for optimizing MRI workflow, especially in high-volume settings or for patients who struggle with long scan times (e.g., claustrophobic, pediatric). The ability to enhance image quality from accelerated scans can lead to more confident diagnoses and potentially expand access to MRI services. Leverage its vendor-neutrality to standardize image quality across diverse MRI fleets. The recent FDA clearance to work with OEM deep learning reconstruction solutions further enhances its utility, allowing for additional scan time reduction or extended AI coverage for sequences not supported by OEM tools.

SwiftMR is designed for seamless integration into existing PACS and MRI workflows, operating on DICOM files. It can be deployed via cloud, hybrid, or on-premise solutions, requiring no hardware upgrades to existing scanners. The system automatically processes images post-acquisition and dispatches enhanced results to PACS, minimizing disruption to current operations. Direct cloud integration with platforms like Incepto is also available, potentially eliminating the need for gateway PCs.

Details

Category Radiology & Imaging AI
Pricing Subscription-based, starting at $50,000 per scanner per year. also offers subscription plans charged per scan volume on a site level and permanent licenses set per mri scanner.
  • Starting at $50,000 per scanner per year
  • Discounted pricing for bundling multiple scanners
  • Contract durations available: 12-month, 24-month (up to 5% savings), 36-month (up to 9% savings)
DeploymentCloud-based, Hybrid solution, Locally on dedicated hardware
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

SwiftMR received FDA 510(k) clearance (K230854) on October 27, 2023. It is cleared as a Medical Image Management and Processing System (Product Code: LLZ) for enhancement and transfer of MR images (all body parts) in DICOM format, for noise reduction and increasing image sharpness, and to support images with scan time reduction by up to 50%.
Integrations
EHR Not specified
Specialties Radiology

What the Web Says

SwiftMR, developed by AIRS Medical, is an AI-powered MRI acceleration software designed to improve image quality and reduce scan times. Reviews from physicians and tech reviewers generally highlight its effectiveness in enhancing image resolution, particularly for challenging areas, and its potential to significantly boost patient throughput in radiology departments.

Overall: Positive

Strengths

  • Significant reduction in MRI scan times (up to 50% reported)
  • Improved image quality and resolution, especially for low signal-to-noise ratio images
  • Enhanced diagnostic confidence due to clearer images
  • Potential for increased patient throughput and access to MRI services
  • User-friendly interface and seamless integration into existing workflows
  • Reduced motion artifacts, leading to fewer rescans

Limitations

  • Initial investment cost for implementation
  • Requires validation and fine-tuning for specific MRI scanner models and protocols
  • Potential for over-reliance on AI, requiring continued human oversight
  • Limited long-term data on widespread adoption and impact on diverse patient populations
  • Some users may experience a learning curve with new AI-enhanced workflows
  • Specific compatibility issues with older MRI machines or less common sequences

Based on reviews from: AIRS Medical Website, Radiology Today, AuntMinnie.com, Healthcare IT News, Physician testimonials/case studies (various medical journals), G2 (limited reviews), Capterra (limited reviews), Reddit (general discussions on AI in radiology)

Last updated: 2026-07-17

Ratings & Reviews

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Press & Coverage

PR Newswire
AIRS Medical's SwiftMRu00ae Receives FDA Clearance to Work in Conjunction with OEM Deep Learning Reconstruction Solutions
AIRS Medical announced that its FDA 510(k)-cleared SwiftMRu00ae MRI image enhancement solution has received clearance to operate with deep learning reconstruction pipelines from original equipment manufacturers (OEMs), allowing for additional scan time reduction and extended AI-powered image enhancement.
2026-04
AuntMinnie
AIRS Medical's SwiftMR cleared to work alongside OEM AI tools
AIRS Medical has secured U.S. Food and Drug Administration clearance for its SwiftMR MRI image reconstruction platform to operate in conjunction with AI deep-learning reconstruction pipelines from original equipment manufacturers (OEMs).
2026-04
Imaging Technology News (ITN)
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.
2026-05
RAD Magazine
SwiftMR deployment demonstrates what targeted AI implementation can achieve
Youtilix, an AI implementation partner for radiology, has supported SwiftMR deployments across UK sites, with one site reporting a 25% increase in patient throughput and a reduction in MRI waiting lists from eight to two weeks.
2026-06
Diagnostic Imaging
AIRS Medical Launches Update of AI-Powered MRI Software SwiftMR
AIRS Medical has released an update to its AI-enabled SwiftMR software, which reportedly facilitates up to a 50% reduction in MRI scan times, with new capabilities including personalized scan settings, improved artifact reduction, and cloud integration.
2025-07
PR Newswire
AIRS Medical Earns Expanded MDR Certification for AI-Powered MRI Image Enhancement Solution SwiftMRu2122
AIRS Medical has received Medical Device Regulation (MDR) certification from the European Union (EU) for SwiftMR across all body parts, expanding its clinical use in Europe.
2025-07
PR Newswire
AIRS Medical to Showcase SwiftMRu2122 Live at ECR 2026
AIRS Medical will present the latest advancements in SwiftMR at the 2026 European Congress of Radiology (ECR), offering demonstrations and educational presentations on its AI-powered MRI reconstruction software.
2026-02
European Radiology
Deep learningu2013based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI
This study investigated SwiftMR's application in enhancing MRI scans for degenerative lumbar spine diseases, demonstrating a 32% reduction in exam time without compromising diagnostic performance or image quality.
2023-12

Videos

Product demos, reviews, and walkthroughs for SwiftMR.

View all on YouTube

Frequently Asked Questions

SwiftMR seamlessly integrates with most existing MRI systems and Picture Archiving and Communication Systems (PACS), enhancing image quality and reducing scan times by up to 50%. This improves patient comfort by shortening scan duration and boosts operational efficiency by increasing patient throughput without requiring new hardware.
SwiftMR is FDA 510(k) cleared for all body parts and patients, including children, and holds CE mark certification under EU Medical Device Regulation (MDR). It ensures data privacy and security through HIPAA, GDPR, ISO/IEC 27001:2022, and SOC2 Type II compliance, employing encryption, access controls, and data minimization practices.
SwiftMR uses deep learning to enhance image clarity and reduce artifacts, with studies showing improved subjective image quality in a high percentage of cases despite reduced scan times. Clinical white papers and peer-reviewed research validate its performance across various anatomical locations and pathologies, supporting diagnostic confidence.
SwiftMR is designed to be vendor-neutral and can work in conjunction with existing OEM deep-learning reconstruction solutions. It can either provide additional scan time reduction on top of an already-installed OEM pipeline or extend AI-powered image enhancement to pulse sequences not covered by an OEM tool.
SwiftMR typically operates on a subscription model, starting around $50,000 per scanner per year, with potential discounts for multiple scanners and longer contract durations. It is presented as a cost-effective solution compared to new hardware, with many centers reporting rapid ROI within weeks or months due to increased patient throughput and revenue.
While SwiftMR significantly reduces scan times and enhances image quality, the exact acceleration can vary based on specific sequences and scanner configurations. It is a software solution not intended for mobile devices, and clinical results are subject to individual site conditions.
Alternatives include AI reconstruction solutions from MRI original equipment manufacturers (OEMs) like Philips, Siemens, and GE, as well as other third-party AI companies such as Subtle Medical. SwiftMR differentiates itself by being vendor-neutral, offering comprehensive 2D and 3D sequence coverage without requiring hardware upgrades, and providing continuous feature updates at no extra cost.

Compare SwiftMR

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SwiftMR vs Rayvolve
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SwiftMR and Rayvolve are adjacent healthcare-AI tools, both falling under Radiology & Imaging AI and FDA-cleared. However, SwiftMR focuses on enhancing MRI image reconstruction and reducing scan times,…
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SwiftMR focuses on optimizing MRI scan times and image quality through AI-powered reconstruction, making it ideal for facilities looking to improve MRI efficiency and output. In contrast, uAI…
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SwiftMR vs Aquilion ONE (TSX-306A/3) V10.12 with Spectral Imaging System
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SwiftMR is an AI-powered software solution that enhances existing MRI scanner capabilities by reducing scan times and improving image quality across various vendors. In contrast, the Aquilion ONE…
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SwiftMR and DrAid for Radiology v1 are adjacent tools in the radiology AI space, as they both aim to improve efficiency and diagnostic support. SwiftMR focuses on enhancing…

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Suggest an Edit → | Last Verified: 2026-04-17 | First Added: 2026-04-17

Investors who backed SwiftMR

Funded through the company that built this tool.

Medical Technology Venture Partners
VC T3
Menlo Park, United States
$250k-$1M
Medical Technology Venture Partners is a healthcare-dedicated venture firm focused specifically on medical devices and clinical technology, with a thesis built around…
Diagnostics Digital Health
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