One AI Across Every Scanner: How HT Médica Standardised Image Quality Across a Multi-Vendor MRI Network with SwiftMR®

Presented by HT Médica at the ECR 2026 Satellite Symposium

HT Médica runs one of Spain's most heterogeneous private radiology networks

The Challenge: One network, many scanners, no shared standard

The Solution: One AI across all platforms

Key Outcomes

Conclusion

Want to standardise image quality across your scanner fleet?

Made aging scanners dramatically faster

Improved image quality on scanners they couldn't replace

Added value even on top of the vendor's own AI

Additional results

HT Médica deployed SwiftMR as a single, vendor-agnostic AI layer across five of its multi-vendor MRI sites. The result was standardised image quality from 1.0T to 3T, shorter scans with higher throughput, and renewed value from scanners it already owned, including measurable gains on top of Canon's own AiCE reconstruction.

Radiologist & Chief Research Officer

Dr. Luna is a Spanish radiologist and HT Médica medical director with deep MRI expertise. He completed his radiology residency at Hospital Gregorio Marañón in Madrid, followed by visiting fellowships at Duke and Harvard. His work has focused on cardiac and abdominal MRI, and he is an author of the Springer volume Diffusion MRI Outside the Brain, which covers oncologic and non-oncologic applications of diffusion-weighted MRI.

HT Médica is a protocol-driven imaging organisation operating more than 40 sites across Spain, from large private hospitals to small outpatient clinics. Its fleet spans 37 MRI scanners from the five major vendors and every field strength in routine use: 3T and 1.5T systems alongside a 0.55T and a 1.0T open scanner.

That diversity is both a point of pride and an operational problem: scanners range from legacy platforms to state-of-the-art systems, with wide variation in age, performance, and software.

In 2023, HT Médica deployed SwiftMR across its sites, covering every vendor and field strength: one tool where each manufacturer's own AI had only ever worked in isolation.

HT Médica · Las Nieves · Philips Achieva 1.5T · 10 years old

This site had a ten-year-old Philips Achieva that was due for replacement. Shoulder is an anatomy where SwiftMR makes impressive gains on any scanner: here the standard protocol came down from around 20 minutes to 11 to 12 minutes while image quality improved. That raised shoulder MRI volume by 60% and cut the appointment slot by 40%.

HT Médica · H. Cruz Roja · Philips Panorama HFO 1.0T (open) · no upgrade path

This site had an open 1.0T Panorama that hadn't had strong availability for six or seven years, the kind of system most teams would simply replace. Here HT Médica wanted more than acceleration; they were looking for better image quality, and got both at once.

HT Médica · H. Covadonga · Canon Galan 3T · running Canon AiCE

This site had a Canon Galan 3T running AiCE, Canon's AI-based denoising tool, with SwiftMR layered on top. On spine, that combination cut more than a minute from the acquisition while improving image quality. Set against PIQE, Canon's brand-new high-resolution AI tool, the AiCE-and-SwiftMR result looked similar at the same scan time.

Across one of Spain's most heterogeneous fleets, from a ten-year-old Philips Achieva to a Canon Galan 3T running the vendor's own AI, SwiftMR delivered on several fronts at once. It harmonised image quality across sites, vendors, and technology generations, produced immediate operational productivity gains, and extended the clinical and economic life of fully amortised legacy systems without compromising image quality or throughput. On modern scanners already running native AI reconstruction, it still added measurable value.

The combined use of vendor-native AI and SwiftMR, Dr. Luna noted, represents an additional optimisation opportunity to be further evaluated and validated.

SwiftMR improves image quality and cuts scan times on the scanners you already own, whatever the vendor. See what it can do on your fleet.

SwiftMR® is FDA 510(k) cleared as an AI-powered MRI image enhancement solution intended for noise reduction and increased image sharpness on non-contrast enhanced MRI images in DICOM format. Supported body parts, pulse sequences, field strengths, patient populations, and MRI manufacturers may vary by country.

Results shown reflect HT Médica's experience on Philips Achieva 1.5T, Siemens Essenza 1.5T, Philips Panorama HFO 1.0T, Canon Elan 1.5T, and Canon Galan 3T systems, as presented at the ECR 2026 Satellite Symposium. Outcomes vary by scanner model, field strength, pulse sequence, clinical protocol, and operational baseline; individual practices should not expect identical results. For investigational purposes only for scan-time reduction over 50%.

This page is intended for healthcare professionals.

© 2026 AIRS Medical Inc. SwiftMR® is a registered trademark of AIRS Medical Inc.

“SwiftMR has proven to be an effective solution for harmonising image quality across our sites, vendors, and technology generations. It delivers immediate operational productivity gains, and shows its value even on modern systems already equipped with native AI reconstruction.”