JSON twin: https://www.healthaidb.com/software/swiftmr.json
AIRS Medical
https://airsmed.com/en/swiftmr/
AI-powered MRI reconstruction software that reduces MRI scan time (up to ~50%) while preserving or improving image quality and integrates into existing MRI workflows.
SwiftMR (AIRS Medical) is a deep-learning software-as-a-medical-device for MRI image reconstruction and enhancement. It accepts DICOM MRI data, denoises and reconstructs images to enable shorter acquisition protocols, integrates with PACS/clinical workflows, and is FDA 510(k) cleared and CE marked for use across body parts.
unknown
2018
Cloud hosted on AWS with option for on-premise (gateway) deployments; regional availability varies by country
P1911
2025-09-07
commercial proprietary
Contact vendor for pricing, deployment and trial information.
enterprise_quote
Gateway PC for on-prem deployment; AWS-based cloud service for cloud deployment; DICOM-compatible scanners; internet connection for cloud processing
product
1.0
{
"company_name": "AIRS Medical",
"company_url": "https://airsmed.com",
"company_offices": [
"South Korea",
"Japan",
"United States",
"Germany"
],
"company_founding": "2018",
"product_url": "https://airsmed.com/en/swiftmr/",
"categories": [
"clinical",
"diagnostic imaging",
"image reconstruction",
"AI/ML",
"radiology"
],
"market_segment": [
"enterprise",
"smb"
],
"links": [
"https://airsmed.com/en/swiftmr/",
"https://airsmed.com/en/clinical-evidence/",
"https://airsmed.com/en/our-story/",
"https://airsmed.com/en/support/",
"https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?ID=K210999",
"https://www.businesswire.com/news/home/20211116005024/en/AIRS-Medical-Receives-FDA-510k-Clearance-for-AI-Powered-MRI-Reconstruction-Software-SwiftMR",
"https://healthairegister.com/products/airs-medical-swiftmr",
"https://aws.amazon.com/marketplace/pp/prodview-g6lgcuuk6q7to"
],
"summary": "AI-powered MRI reconstruction software that reduces MRI scan time (up to ~50%) while preserving or improving image quality and integrates into existing MRI workflows.",
"description": "SwiftMR (AIRS Medical) is a deep-learning software-as-a-medical-device for MRI image reconstruction and enhancement. It accepts DICOM MRI data, denoises and reconstructs images to enable shorter acquisition protocols, integrates with PACS/clinical workflows, and is FDA 510(k) cleared and CE marked for use across body parts.",
"target_users": [
"radiologists",
"MRI technologists",
"radiology departments/administrators",
"imaging centers",
"patients"
],
"specialties": [
"general radiology (MRI)",
"neuroradiology",
"musculoskeletal imaging",
"spine imaging",
"cardiac MRI",
"oncologic imaging"
],
"regions_available": [
"United States",
"European Union",
"Canada",
"Brazil",
"Australia / ANZ",
"Latin America"
],
"languages_supported": [
"English",
"Portuguese",
"German",
"Japanese",
"Korean"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, deployment and trial information.",
"license": "commercial proprietary",
"deployment_model": [
"cloud (AWS)",
"on_premise (gateway PC)"
],
"os_platforms": [
"Web (cloud management/portal)",
"Windows (gateway PC)"
],
"features": [
"AI-powered MRI image denoising and sharpening",
"Scan time reduction up to ~50%",
"Vendor-neutral support for legacy and modern MRI scanners",
"DICOM ingestion and reconstruction",
"Protocol optimization and tuning",
"Fast cloud-based processing (seconds to ~90s)",
"Support for 2D and 3D MR sequences",
"Workflow integration with existing scanner workflows",
"Image quality enhancement without hardware upgrades",
"Site installation, training and monitoring support"
],
"optional_modules": [
"On-premise deployment option",
"Cloud (AWS) managed updates and support"
],
"integrations": [
"DICOM-compatible MRI scanners (vendor-neutral)",
"PACS (DICOM transfer/workflow)",
"Incepto (Folio platform) partner integration",
"AWS Marketplace (cloud deployment/marketplace listing)"
],
"data_standards": [
"DICOM"
],
"api_available": "unknown",
"system_requirements": "Gateway PC for on-prem deployment; AWS-based cloud service for cloud deployment; DICOM-compatible scanners; internet connection for cloud processing",
"compliance": [
"FDA 510(k) clearance (USA)",
"Health Canada approval",
"CE marking (EU)",
"HIPAA (implied for US deployments)",
"GDPR (for EU operations)"
],
"certifications": [
"FDA 510(k)",
"Health Canada approval",
"CE"
],
"security_features": [
"Multi-factor authentication (MFA)",
"Stronger password policies",
"Session management",
"Encrypted data transfer (TLS) for cloud processing",
"Audit logging (user/activity tracking)"
],
"privacy_features": [
"Privacy policy and data use disclosures",
"Option for on-premise deployment (keeps data local)",
"Customer gateway for controlled data transfer"
],
"data_residency": "Cloud hosted on AWS with option for on-premise (gateway) deployments; regional availability varies by country",
"customers": [
"East River Medical Imaging",
"3T Radiology & Research",
"RNZ (Regional Nuremberg diagnostic imaging group)",
"Naugatuck Valley Radiological Group",
"First Choice (diagnostic imaging center)",
"Diagnostic Imaging (featured in patient testimonial videos)"
],
"user_reviews": [],
"ratings": [
"FDA 510(k) clearance (listed in vendor materials and third‑party sources)",
"Health Canada approval (announced via PR Newswire / vendor)",
"AWS Marketplace listing (product page present on AWS Marketplace)"
],
"support_channels": [
"email",
"phone",
"onsite implementation",
"remote/integration support",
"ticketing"
],
"training_options": [
"documentation",
"webinars",
"live_online training",
"onsite training"
],
"release_year": "",
"integration_partners": [
"AWS (Marketplace)",
"FONAR (reseller/partner references)",
"MXR Imaging (reseller/partner references)",
"Brown's Medical Imaging (distributor/reseller)",
"Med AI Solutions (partner listing)",
"Elion.health (third‑party product directory/reseller)"
],
"id": "P1911",
"slug": "swiftmr",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/swiftmr.json"
}
}