Vendor source
Reviewed 22 Jul 2026
Completeness Comprehensive (81%)
SwiftMR aims to accelerate MRI scans by up to 50% by enhancing low-quality initial outputs from accelerated scans. The deep-learning model improves SNR and resolution of MRI inputs, irrespective of body part or vendor type. Operating in DICOM format, SwiftMR receives assigned scans from connected MRIs and dispatches results to PACS. Installable via cloud or on-premise. *Product coverage and supported types may vary by region depending on regulatory status.
Supported by 10 papers










General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDR
Class:
Class IIa
Verified by Health AI Register
Pathway:
510(k) cleared
Class:
Class II
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Leveraging a vendor-neutral deep learning reconstruction algorithm to reduce scan time and enhance image quality in T2-weighted liver MRI
Scientific Reports · Jul 2026
Signal-to-noise ratio improvement in postmortem MRI using deep learning reconstruction (SwiftMR)
Forensic Science International · Apr 2026
Examining the Effect of Deep Learning-Based Image Reconstruction on Accelerating Shoulder Magnetic Resonance Imaging (MRI) and Its Impact on Image Quality
Cureus · Oct 2025
A multinational study of deep learning-based image enhancement for multiparametric glioma MRI
Scientific Reports · Sep 2025
Deep learning-based image enhancement for improved black blood imaging in brain metastasis
European Radiology · Aug 2025
Prospective Evaluation of Accelerated Brain MRI Using Deep Learning-Based Reconstruction: Simultaneous Application to 2D Spin-Echo and 3D Gradient-Echo Sequences
Korean Journal of Radiology · Jan 2025
Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques
Scientific Reports · Aug 2024
Deep Learning-Based High-Resolution Magnetic Resonance Angiography (MRA) Generation Model for 4D Time-Resolved Angiography with Interleaved Stochastic Trajectories (TWIST) MRA in Fast Stroke Imaging
Diagnostics · Jun 2024
Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)–based reconstruction: prospective, multi-reader, multi-vendor study
Scientific Reports · Oct 2023
Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI
European Radiology · Jul 2023
Technical Specifications
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Population
Market Presence
On market since
AI Platforms
Resellers
Not specified
Countries present
Paying clinical customers
Research/test users
Pricing Information
Pricing model
Based on
Source: Vendor | First published: Jul 14, 2024 | Last updated: Jul 22, 2026