SwiftMR

by AIRS Medical  · Based in South Korea → — One Unified AI Platform for Faster, Smarter MRI
Radiology
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Subscription-based, priced per mri unit/scanner per year, with discounted pricing for bundling multiple scanners. also offers one-time license fee option.
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 in DICOM format, receiving assigned scans from connected MRIs and dispatching results to PACS. It uses a vendor-neutral, DICOM-based architecture to connect with existing MRI and PACS environments. The system supports DICOM transfer, with no software installed on the MRI equipment. SwiftMR also supports DICOM input/output directories on a secondary drive for on-premise deployments and offers per-series DICOM routing.
PACS Integration Method
SwiftMR integrates with existing PACS environments using DICOM connectivity. Images are processed in the background and returned to PACS for review within the existing reading workflow, eliminating the need for a separate viewer or manual upload. Enhanced images are re-matched to the patient and stored to PACS automatically. SwiftMR Gateway removes patient information before sending scans to the cloud and restores it before sending results to PACS.
Reading Room Workflow Impact
SwiftMR is designed to integrate into existing MRI and PACS workflows, allowing radiologists to continue reading studies in their familiar environment without disruption. It eliminates manual MIP post-processing for technologists, automating vessel segmentation and generation of standard and vessel-focused MIP views for MRA Head, saving over five minutes per eligible MRA TOF head examination. The processed images are typically on the PACS worklist by the time the patient is off the MRI table.
AI Model Architecture (deep learning approach)
SwiftMR utilizes an all-in-one deep learning framework for MR image reconstruction. This deep learning technology enhances image quality by reducing noise and blur, preserving natural image texture, tissue contrast, and anatomical detail across various scanners, sequences, and protocols. The model is trained on pairs of images with identical anatomy at different noise levels to remove noise patterns while preserving anatomical structures, including lesions.
Processing Speed (per study)
Processing speed typically takes under 2 minutes per study, though larger studies like 3D may take longer.
FDA Clearance Pathway (510k/De Novo)
SwiftMR has received FDA 510(k) clearance. It was initially cleared for brain MRI images in October 2021, then expanded in May 2022 for spine, knee, ankle, shoulder, and hip MRI images. As of October 2023, it has expanded 510(k) clearance for use on all body parts and patients, including children. SwiftMR is also cleared to work in conjunction with OEM deep learning reconstruction solutions.
Supported Modalities (CT/MRI/X-ray/US)
SwiftMR supports MRI. It is compatible with all MRI vendors and scanner models, regardless of age or magnet type, at field strengths from 0.25T to 3.0T, including open and upright MRI systems. It is FDA-cleared for all body parts and patients, including pediatric patients.
Sensitivity & Specificity Data
In a study evaluating culprit plaques using intraplaque hemorrhage, sensitivity rose from 23.5% to 70.6% with SwiftMR, while specificity held at 94.3%. Radiologist sensitivity and specificity for major degenerative lumbar spine findings were not significantly different in studies comparing SwiftMR-enhanced images to standard MRI.
RSNA/ACR Validation
AIRS Medical showcases SwiftMR at RSNA. SwiftMR-processed images are suitable for ACR accreditation, as they do not raise concerns regarding image quality assessment criteria.
Physician Tip

SwiftMR can significantly reduce MRI scan times (up to 50%) without compromising diagnostic image quality, potentially increasing patient throughput and comfort. It integrates seamlessly into existing PACS workflows, returning enhanced images directly for review without requiring new software or viewers. The AI reconstruction improves SNR and spatial resolution, which can be particularly beneficial for challenging cases or when optimizing protocols for specific clinical needs. Consider utilizing SwiftMR to enhance image quality on accelerated sequences, potentially allowing for shorter scan times or improved detail on standard scan times. The automated MIP generation for MRA Head can save technologists significant post-processing time, leading to faster study delivery to PACS.

SwiftMR integrates with existing MRI and PACS environments using standard DICOM protocols. It is compatible with all major MRI vendors (GE, Siemens, Philips, Canon, Fujifilm, Fonar) and scanner models, including those with OEM deep learning reconstruction solutions like GE AIR Recon DL, providing further acceleration. The system uses a gateway to de-identify patient information before cloud processing and re-identify it before sending images back to PACS, ensuring HIPAA compliance.

Details

Category Radiology & Imaging AI
Pricing Subscription-based, priced per mri unit/scanner per year, with discounted pricing for bundling multiple scanners. also offers one-time license fee option.
Free TrialUnknown
DeploymentCloud and on-premise.
Mobile AppNo, SwiftMR is not intended for use on mobile devices.
Data ExportUnknown
TrainingUnknown
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Cleared AI-estimated
SOC 2 Yes AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Radiology

Support & Reliability

Training ProvidedUnknown

What the Web Says

SwiftMR is an AI-powered MRI reconstruction solution developed by AIRS Medical that aims to reduce MRI scan times by up to 50% while improving image quality through denoising, sharpening, and super-resolution. It is designed to be vendor-neutral, compatible with all MRI vendors, models, and field strengths, and integrates into existing workflows without requiring hardware upgrades. Physicians and technologists have reported positive experiences, noting improved image quality, increased patient comfort due to shorter scan times, and enhanced operational efficiency.

Overall: Positive

Strengths

  • Reduces MRI scan times by up to 50%, leading to increased patient throughput and comfort.
  • Improves image quality through denoising, sharpening, and 4x super-resolution in a single solution.
  • Vendor-neutral, compatible with all MRI vendors, models, and ages, including legacy systems.
  • Requires no hardware or software upgrades, allowing for easy integration and extending the life of existing MRI investments.
  • Positive impact on revenue and ROI, with some facilities reporting recovery of investment in weeks and significant increases in margins.
  • Maintains or improves diagnostic performance and radiologist confidence, as supported by peer-reviewed studies.

Limitations

No significant limitations found in public reviews. Consider checking vendor documentation or requesting a demo for a thorough evaluation.

Based on reviews from: airsmed.com, elion.health, amazon.com

Last updated: 2026-10-28

Ratings & Reviews

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Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

AuntMinnie.com
AIRS Medical's SwiftMR cleared to work alongside OEM AI tools
AIRS Medical has received FDA clearance for its SwiftMR MRI image reconstruction platform to work with AI deep-learning reconstruction pipelines from original equipment manufacturers (OEMs). This allows SwiftMR to either further reduce scan times on top of existing OEM solutions or extend AI-powered image enhancement to sequences not covered by OEM tools.
2026-04
PR Newswire
AIRS Medical's SwiftMR® Receives FDA Clearance to Work in Conjunction with OEM Deep Learning Reconstruction Solutions
AIRS Medical announced that its SwiftMR® solution has received FDA 510(k) clearance to operate with deep learning (DL) reconstruction pipelines from original equipment manufacturers (OEM). This enables SwiftMR to provide additional scan time reduction or extend AI-powered image enhancement to sequences not covered by OEM DL solutions.
2026-04
airsmed.com
SimonMed and AIRS Medical to deploy SwiftMR® at 170+ centers nationwide
SimonMed is partnering with AIRS Medical to deploy SwiftMR®, an AI-powered MR image reconstruction solution, across more than 170 centers nationwide. This collaboration aims to enhance MRI quality, reduce scan times, and improve patient experience.
2026-04
airsmed.com
AIRS Medical to Showcase SwiftMR™ Live at ECR 2026
AIRS Medical will present the latest advancements in SwiftMR at the 2026 European Congress of Radiology (ECR) in Vienna. Attendees will have the opportunity to experience a "Bring Your Own Data" session, where anonymized DICOM data can be reconstructed in real-time using SwiftMR.
2026-02
PR Newswire
AIRS Medical Unveils Major SwiftMR® Update, Enabling Greater Autonomy in MRI Operations
AIRS Medical announced a major update to SwiftMR, introducing new capabilities that provide greater flexibility and independence in MRI operations. This update allows clinical teams to personalize scan settings directly within SwiftMR, supporting greater adaptability and standardization across imaging locations.
2025-07
diagnosticimaging.com
AIRS Medical Launches Update of AI-Powered MRI Software SwiftMR
AIRS Medical has launched an update for its AI-enabled SwiftMR software, which reduces MRI scan times by up to 50%. The new capabilities include personalized scan settings, improved artifact reduction, cloud integration, and bolstered security enhancements.
2025-07
airsmed.com
Improving diagnostic performance of MRI for temporal lobe epilepsy with deep learning-based image reconstruction in patients with suspected focal epilepsy
A study published in the Korean Journal of Radiology in 2024 found that SwiftMR significantly improved resolution and structural conspicuity in hippocampal imaging for temporal lobe epilepsy, leading to more accurate diagnoses.
2024-04
airsmed.com
AIRS Medical Introduces AI-Powered MRI Solution, SwiftMR™, to the United Kingdom
AIRS Medical launched SwiftMR™ in the United Kingdom, partnering with Medserena, a multi-chain imaging center. SwiftMR™ is an MRI reconstruction technology that uses deep learning algorithms to enhance image quality and reduce scan lengths, and can be applied as a standalone solution on various MRI scanner models.
2024-04

Videos

Product demos, reviews, and walkthroughs for SwiftMR.

View all on YouTube

Frequently Asked Questions

SwiftMR is an AI-powered MRI enhancement software that uses deep learning to reduce MRI scan times by up to 50% while maintaining or improving image quality. It achieves this by modifying MRI parameters to shorten the scan and then using AI to enhance the images, restoring signal-to-noise ratio and spatial resolution. Physicians can use SwiftMR to increase scanner capacity, improve diagnostic confidence with better image quality, and obtain quantitative imaging insights across various MRI systems.
SwiftMR is FDA 510(k) cleared as a Class II Software as a Medical Device in the United States, indicating it meets FDA safety and effectiveness standards. It also holds CE Mark certification under MDR in Europe, which is a stringent requirement for medical devices, and is MFDS approved in Korea. AIRS Medical, the developer of SwiftMR, maintains ISO 13485:2016 for quality management and ISO 27001, ISO 27017, and ISO 27018 certifications for information security, ensuring patient data protection and compliance with regulations like HIPAA and GDPR.
Yes, alternatives to SwiftMR include other vendor-neutral MRI acceleration software like Subtle Medical, and deep learning reconstruction solutions offered by MRI scanner manufacturers such as GE AIR Recon DL, Siemens Deep Resolve, Philips SmartSpeed, or Canon AiCE. SwiftMR is designed to be vendor-neutral, working with MRI systems from all major manufacturers (Siemens, GE, Philips, Canon, Fujifilm, Fonar) and across all field strengths up to 3.0T. It can also work in conjunction with OEM deep learning solutions, providing further scan time reduction on top of existing parameter settings.
SwiftMR is typically purchased through a contract priced by the number of MRI units a facility intends to cover. The cost scales directly with the number of MRI scanners enrolled, with each scanner counting as one unit, regardless of its age, model, or manufacturer. This pricing model aims to be straightforward, without separate tiers or add-ons within the basic listing.
While SwiftMR significantly reduces scan times and enhances image quality, the exact amount of time reduction can vary depending on the imaging area and technique. However, it has been validated in various clinical areas through peer-reviewed studies, demonstrating improved image quality and diagnostic performance in brain, spine, musculoskeletal, and neurovascular imaging. SwiftMR is designed to restore images to a diagnostically interpretable standard even with reduced imaging time.

Compare SwiftMR

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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,…
VS
SwiftMR vs uAI Portal
Radiology & Imaging AI Adjacent · 65/100
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
Radiology & Imaging AI Adjacent · 65/100
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 vs DrAid for Radiology v1
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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 → | Report an issue | Last Verified: 2026-10-14 | 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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