AIRS Medical Expands MDR Certification for SwiftMR Across Europe

Jul 8, 2025
AIRS Medical has received expanded MDR certification from the EU for its AI-powered MRI solution, SwiftMR, allowing broader clinical use across all body parts.

AIRS Medical has received expanded Medical Device Regulation (MDR) certification from the European Union for its AI-powered MRI image enhancement solution, SwiftMR. Announced in a press release, this certification now covers all body parts, including the abdomen, breast, prostate, and pediatric imaging, in addition to previously approved applications for brain, spine, and musculoskeletal imaging.

The expanded certification facilitates broader clinical use of SwiftMR across Europe, providing healthcare providers with new tools to enhance patient care. SwiftMR uses deep learning technology to reduce MRI scan times by up to 50%, improving patient comfort and enabling imaging providers to serve more patients efficiently.

SwiftMR is already in use by over 800 hospitals, imaging centers, and diagnostic clinics worldwide. It enhances image resolution and detail, supports workflow efficiency, and is compatible with all scanner vendors and models, making it a versatile tool for imaging providers.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.