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Key Features

  • MRI image enhancement
  • MRI scan acceleration

General Information

Product name

SwiftMR

Subspeciality

Abdomen, Breast, Cardiac, Chest, MSK, Neuro

Modality

MR

Disease targeted

Not applicable

Main task

Not specified

Technical Specifications

Population

All population

Patient population age

Not specified

Input

2D, 3D, T1WI, T2WI, PDWI, FLAIR, T2*WI, contrast, MR Angiography, MR Arthrography, MR Myelography

Input format

DICOM

Output

Enhanced MR images

Output format

DICOM

Integration

Stand-alone third party application

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware

Trigger for analysis

Automatically, Right after the image acquisition

Processing time

1 - 10 minutes

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIa

Verified by Health AI Register
FDA Certification

Pathway:

510(k) cleared

Class:

Class II

Verified by Health AI Register

Other certifications

Not specified

Market Presence

On market since

01-2022

AI Platforms

Blackford Analysis, Incepto

Resellers

Not specified

Countries present

15

Paying clinical customers

175

Research/test users

83

Pricing Information

Pricing model

One-time license fee, Pay-per-use, Subscription

Based on

Number of analyses, Number of installations

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Prospective Evaluation of Accelerated Brain MRI Using Deep Learning-Based Reconstruction: Simultaneous Application to 2D Spin-Echo and 3D Gradient-Echo Sequences

Peer-Reviewed

View

Deep learning improves quality of intracranial vessel wall MRI for better characterization of potentially culprit plaques

Peer-Reviewed

View

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

Peer-Reviewed

View

Deep learning–based reconstruction for acceleration of lumbar spine MRI: a prospective comparison with standard MRI

Peer-Reviewed

View

Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)–based reconstruction: prospective, multi-reader, multi-vendor study

Source: vendor | First published: Jul 14, 2024 | Last updated: Jul 22, 2025