AI-Powered MRI Enhancement Solution

* Registered under Act 737, MDA Reg. No. GB3605423-133302
** Professional use only

* For investigational purposes in countries outside of the United States, South Korea, Canada, Brazil, Japan, Taiwan, Malaysia, Saudi Arabia, UAE, Thailand, Vietnam, and Indonesia. FDA 510(k)-cleared to support images with scan time reduction by up to 50% in the United States.

Graph showing a 37% increase in MRI scan volume at GK Medical after implementing SwiftMR technology, highlighting enhanced efficiency and productivity.

Image Quality

SwiftMR enhances MRI image quality through advanced denoising and super-resolution, offering a high-quality imaging experience that supports your diagnostic confidence.1-4,8

Efficiency

At the same time, SwiftMR increases the efficiency of your MRI scanner by up to 50 % thanks to optimized scan protocols.o5-8

This enables shorter examination times and higher patient throughput – unlocking opportunities for revenue and growth.9

No limitations

The application of SwiftMR has no limitations: The approved deep learning model supports all body regions and sequences10 – especially highlighting 3D sequences.8,9

Compatibility

SwiftMR is compatible with all common MRI systems – regardless of manufacturer, age or field strength – and can be seamlessly integrated into everyday clinical practice without any adjustments to your existing workflow or hardware.11

No limitations

By optimizing your existing scanners, it extends their lifespan and avoids costly replacements, making your system instantly ready and more sustainable.11 With the cloud solution your system is always up to date.

1 https://doi.org/10.1038/s41598-024-69750-4 2 https://doi.org/10.1038/s41598-024-76592-7 3 https://doi.org/10.3390/diagnostics14111199 4 https://doi.org/10.3348/kjr.2023.0842 5 http://dx.doi.org/10.3174/ajnr.A8567 6 https://doi.org/10.1007/s00330-023-09918-0 7 https://doi.org/10.1038/s41598-023-44248-7 8 https://doi.org/10.3348/kjr.2024.0653 9 https://doi.org/10.1007/s00234-024-03461-5 10 CE MDR 11 Case studies https://airsmed.com/en/emea/case-studies/

How SwiftMR Works

Our team will optimize MRI protocols to accelerate scans, initially producing faster yet low-quality images. SwiftMR’s deep learning model is then employed to enhance the accelerated scans, effectively transforming them into high-quality images.

How SwiftMR works - first image - 120 seconds
How SwiftMR works - second image - 60 seconds
How SwiftMR works - third image - 60 seconds - swifted image

Testimonials

Florian Elgeti, MD
Radiology & Nuclear Medicine Specialist, Managing Partner

“We asked ourselves, is it really necessary to discard perfectly good hardware? Is it sustainable? And we said no. We invested in AI.

Röntgenpraxis am Marstall

Hanover, Germany

Wolfgang Steger, MD
CEO, Diagnostic Radiology Specialist

“Patients with anxiety, claustrophobia, or acute pain benefit most from SwiftMR’s shorter scan times.

RNZ

Nuremberg, Germany

Antonio Luna, MD, PhD
Scientific Director

“We’ve been using SwiftMR in three 1.5T MRI systems with a significant increase in productivity and image quality. This is truly an amazing technology.”

HT Medica

Spain

Frequently Asked Questions

Choosing between k-space based and DICOM-based image construction depends on the imaging facility’s needs, available expertise, and the desired balance between image quality, flexibility, and ease of use. K-space based reconstruction requires significant computational resources to generate high-quality images, while DICOM-based reconstruction suits standard clinical practice, prioritizing ease of use, standardization, and workflow integration.

SwiftMR offers both an AWS-based cloud solution and an on-premise solution. We generally recommend the cloud version because it allows us to address issues quickly and provide convenient updates. Many of our customers also prefer the cloud version as it enables them to benefit from our latest upgrades and updates. However, if connecting to an external network is problematic due to your institution’s information security policy, the on-premise version is a viable alternative.

*Note: The availability of the on-premise solution may vary by country.

For simple 2D scans, processing takes just a few seconds. For more complex 3D scans, it typically takes around a minute. However, processing time is usually dependent on the institution’s internet speed. On average, all reconstructed images are returned within 90 seconds.

Yes, SwiftMR is compatible with scanners from different manufacturers as long as they support the DICOM format. Our solution processes images using the DICOM protocol.

*Note: Supported MR devices may vary depending on regulatory clearance in each region.

Yes, SwiftMR is designed to enhance the performance of older MRI machines, even those that are 25-30 years old. Many of our customers with older MR equipment have reported excellent results and are very satisfied with the solution.

Yes, SwiftMR can be used exclusively to improve image quality without reducing scan time. Some of our customers choose to use the solution specifically for this purpose, achieving enhanced image clarity and detail while maintaining their existing scan durations.

Customer Success Manager visits the site for installation, which is carried out over a total of two days: (1) gateway PC installation and SwiftMR protocol setting on the first day; (2) user training and monitoring on the second day.

Gateway PC will be provided by customer success manager to each site.

Contact us

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