RAI
JSON twin: https://www.healthaidb.com/software/rai.json
Company Name
Remedy Logic
Product URL
https://www.remedylogic.com/remedy-logic-fda-clearance
Company URL
https://www.remedylogic.com
Categories
Summary
RAI is an AI-powered solution developed by Remedy Logic to enhance spine MRI interpretation, improving radiologist efficiency and patient outcomes.
Description
RAI automates vertebrae labeling, pathology identification, and measurements, integrating seamlessly into existing PACS/RIS systems to streamline spine MRI analysis. It has been trained on over 5 million scans and is utilized by more than 300 radiologists across 80+ facilities worldwide. FDA-cleared in November 2024, RAI is set to be showcased at the RSNA 2024 Annual Meeting. ([remedylogic.com](https://www.remedylogic.com/remedy-logic-fda-clearance?utm_source=openai))
Api Available
yes
Certifications
- FDA 510(k)
- CE/MDR
- ONC
- ISO 27001
Company Founding
2019
Company Offices
Compliance
- HIPAA
- FDA 510(k)
- SOC 2
- ISO 27001
Customers
Data Residency
US/EU regions
Data Standards
Deployment Model
Features
- Automated vertebrae level labeling
- Comprehensive pathology identification
- Precise measurements
- Customizable reporting
- Seamless integration with existing PACS/RIS systems
- Improved radiologist efficiency
- Enhanced patient outcomes
- FDA-cleared AI solution
Id
SW0136
Integration Partners
Integrations
- PACS
- RIS
- Viewer
- RADIN Health PACS
Languages Supported
- English
- Spanish
- French
- German
- Italian
- Portuguese
- Dutch
- Russian
- Chinese
- Japanese
- Korean
- Arabic
- Hindi
- Bengali
- Punjabi
- Telugu
- Marathi
- Tamil
- Gujarati
- Malayalam
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Advanced analytics
- Clinical decision support
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
subscription
Privacy Features
- BAA available
- Consent management
- Anonymization
- Data minimization
Product Code
SW0136
Product Name
RAI
Ratings
Regions Available
Related Urls
Release Year
Security Features
- Encryption
- RBAC
- SSO/SAML
- Audit logs
- 2FA
Specialties
Support Channels
System Requirements
Windows Server, Linux Server, 16 GB RAM, 4 CPU cores, 100 GB storage
Target Users
- radiologists
- spine surgeons
- healthcare IT professionals
- medical imaging specialists
Training Options
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "RAI",
"company_name": "Remedy Logic",
"product_url": "https://www.remedylogic.com/remedy-logic-fda-clearance",
"company_url": "https://www.remedylogic.com",
"related_urls": [
"https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
],
"product_code": "SW0136",
"summary": "RAI is an AI-powered solution developed by Remedy Logic to enhance spine MRI interpretation, improving radiologist efficiency and patient outcomes.",
"description": "RAI automates vertebrae labeling, pathology identification, and measurements, integrating seamlessly into existing PACS/RIS systems to streamline spine MRI analysis. It has been trained on over 5 million scans and is utilized by more than 300 radiologists across 80+ facilities worldwide. FDA-cleared in November 2024, RAI is set to be showcased at the RSNA 2024 Annual Meeting. ([remedylogic.com](https://www.remedylogic.com/remedy-logic-fda-clearance?utm_source=openai))",
"categories": [
"clinical Decision Support",
"imaging Software",
"radiology Ai",
"healthcare Software Solutions",
"healthcare It",
"medical Device",
"regulatory Compliance",
"Clinical Decision Support",
"Medical Imaging",
"Radiology Ai",
"Spine Imaging",
"Diagnostic Imaging",
"Medical Software",
"Healthcare It",
"Medical Device",
"Fda-cleared Software",
"Pacs Integration"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"radiologists",
"spine surgeons",
"healthcare IT professionals",
"medical imaging specialists"
],
"specialties": [
"Radiology",
"Spine Surgery",
"Musculoskeletal Imaging",
"Neuroimaging",
"Orthopedics",
"Neurology",
"Sports Medicine",
"Physiatry",
"Pain Management",
"Chiropractic Care",
"Osteopathy",
"Rheumatology",
"Geriatrics",
"Pediatrics",
"Emergency Medicine",
"Trauma Surgery",
"Oncology",
"Infectious Disease",
"Genetics",
"Genomics",
"Pathology"
],
"regions_available": [
"United States",
"Canada",
"United Kingdom",
"Germany",
"France",
"Italy",
"Spain",
"Australia",
"New Zealand",
"Japan",
"South Korea",
"China",
"India",
"Brazil",
"Mexico",
"South Africa",
"Saudi Arabia",
"United Arab Emirates",
"Israel",
"Singapore"
],
"languages_supported": [
"English",
"Spanish",
"French",
"German",
"Italian",
"Portuguese",
"Dutch",
"Russian",
"Chinese",
"Japanese",
"Korean",
"Arabic",
"Hindi",
"Bengali",
"Punjabi",
"Telugu",
"Marathi",
"Tamil",
"Gujarati",
"Malayalam"
],
"pricing_model": "subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "commercial",
"company_offices": [
"United States",
"United Kingdom",
"Germany",
"France",
"Italy",
"Spain",
"Australia",
"New Zealand",
"Japan",
"South Korea"
],
"company_founding": "2019",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"Windows",
"macOS",
"Linux"
],
"features": [
"Automated vertebrae level labeling",
"Comprehensive pathology identification",
"Precise measurements",
"Customizable reporting",
"Seamless integration with existing PACS/RIS systems",
"Improved radiologist efficiency",
"Enhanced patient outcomes",
"FDA-cleared AI solution"
],
"optional_modules": [
"Advanced analytics",
"Clinical decision support"
],
"integrations": [
"PACS",
"RIS",
"Viewer",
"RADIN Health PACS"
],
"data_standards": [
"DICOM",
"HL7",
"FHIR"
],
"api_available": "yes",
"system_requirements": "Windows Server, Linux Server, 16 GB RAM, 4 CPU cores, 100 GB storage",
"compliance": [
"HIPAA",
"FDA 510(k)",
"SOC 2",
"ISO 27001"
],
"certifications": [
"FDA 510(k)",
"CE/MDR",
"ONC",
"ISO 27001"
],
"security_features": [
"Encryption",
"RBAC",
"SSO/SAML",
"Audit logs",
"2FA"
],
"privacy_features": [
"BAA available",
"Consent management",
"Anonymization",
"Data minimization"
],
"data_residency": "US/EU regions",
"customers": [],
"user_reviews": [],
"ratings": [],
"support_channels": [],
"training_options": [],
"release_year": "",
"integration_partners": [],
"id": "SW0136",
"slug": "rai",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/rai.json"
}
}