MPXA-2000

JSON twin: https://www.healthaidb.com/software/mpxa-2000.json

Company Name

Medipixel

Product URL

https://medipixel.com

Company URL

https://medipixel.com

Categories

• clinical Care
• diagnostic Support
• cardiology
• imaging Software
• ai Clinical Documentation Integrity
• clinical Decision Support
• Clinical
• Diagnostic
• Medical Imaging
• Artificial Intelligence

Summary

MPXA-2000 is an AI-driven software developed by Medipixel to assist cardiologists and radiologists in analyzing coronary angiographic X-ray images, providing real-time, automated vessel segmentation and lesion quantification to support clinical decision-making.

Description

MPXA-2000 is a software tool intended for cardiologists and radiologists to automatically analyze X-ray angiographic images of the coronary arteries. It uses deep learning and computer vision algorithms to segment blood vessels, classify vessel types, quantify vessel dimensions, and support clinical decisions related to coronary artery disease. The software provides validated, reproducible quantitative results to aid in diagnosis and treatment evaluation, with results available for review and export. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K222036?utm_source=openai))

Api Available

unknown

Certifications

• FDA 510(k) clearance
• ISO 13485 certification
• MDSAP certification
• GMP certification
• HIPAA compliance
• GDPR compliance
• HITECH compliance
• SOC 2 compliance
• ISO 27001 compliance

Company Founding

2018

Company Offices

• South Korea
• United States

Compliance

• FDA 510(k) clearance
• IEC 62304 software lifecycle processes
• ISO 13485 certification
• MDSAP certification
• GMP certification
• HIPAA compliance
• GDPR compliance
• HITECH compliance
• SOC 2 compliance
• ISO 27001 compliance

Customers

Data Residency

US/EU regions

Data Standards

• DICOM

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Automated analysis of coronary X-ray angiographic images
• Deep learning-based vessel segmentation and classification
• Quantification of vessel dimensions
• Support for clinical decisions in coronary artery disease
• Validated and reproducible quantitative results
• Results available for review and export

Id

SW0372

Integration Partners

Integrations

• DICOM X-ray angiographic images from various vendors

Languages Supported

• English
• Korean

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• Frame selection
• Vessel segmentation
• Vessel classification
• ROI quantification
• Result visualization/export

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW0372

Product Name

MPXA-2000

Ratings

Regions Available

• United States
• South Korea

Related Urls

• https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices

Release Year

Security Features

• Encryption
• RBAC
• Audit logs
• 2FA

Specialties

• Cardiology
• Radiology

Support Channels

System Requirements

Target Users

• Cardiologists
• Radiologists
• Medical Imaging Professionals

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "MPXA-2000",
  "company_name": "Medipixel",
  "product_url": "https://medipixel.com",
  "company_url": "https://medipixel.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0372",
  "summary": "MPXA-2000 is an AI-driven software developed by Medipixel to assist cardiologists and radiologists in analyzing coronary angiographic X-ray images, providing real-time, automated vessel segmentation and lesion quantification to support clinical decision-making.",
  "description": "MPXA-2000 is a software tool intended for cardiologists and radiologists to automatically analyze X-ray angiographic images of the coronary arteries. It uses deep learning and computer vision algorithms to segment blood vessels, classify vessel types, quantify vessel dimensions, and support clinical decisions related to coronary artery disease. The software provides validated, reproducible quantitative results to aid in diagnosis and treatment evaluation, with results available for review and export. ([xrayinterpreter.com](https://xrayinterpreter.com/fda/K222036?utm_source=openai))",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "cardiology",
    "imaging Software",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "Clinical",
    "Diagnostic",
    "Cardiology",
    "Medical Imaging",
    "Artificial Intelligence"
  ],
  "market_segment": [
    "Enterprise",
    "SMB"
  ],
  "target_users": [
    "Cardiologists",
    "Radiologists",
    "Medical Imaging Professionals"
  ],
  "specialties": [
    "Cardiology",
    "Radiology"
  ],
  "regions_available": [
    "United States",
    "South Korea"
  ],
  "languages_supported": [
    "English",
    "Korean"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "South Korea",
    "United States"
  ],
  "company_founding": "2018",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "Automated analysis of coronary X-ray angiographic images",
    "Deep learning-based vessel segmentation and classification",
    "Quantification of vessel dimensions",
    "Support for clinical decisions in coronary artery disease",
    "Validated and reproducible quantitative results",
    "Results available for review and export"
  ],
  "optional_modules": [
    "Frame selection",
    "Vessel segmentation",
    "Vessel classification",
    "ROI quantification",
    "Result visualization/export"
  ],
  "integrations": [
    "DICOM X-ray angiographic images from various vendors"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "FDA 510(k) clearance",
    "IEC 62304 software lifecycle processes",
    "ISO 13485 certification",
    "MDSAP certification",
    "GMP certification",
    "HIPAA compliance",
    "GDPR compliance",
    "HITECH compliance",
    "SOC 2 compliance",
    "ISO 27001 compliance"
  ],
  "certifications": [
    "FDA 510(k) clearance",
    "ISO 13485 certification",
    "MDSAP certification",
    "GMP certification",
    "HIPAA compliance",
    "GDPR compliance",
    "HITECH compliance",
    "SOC 2 compliance",
    "ISO 27001 compliance"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "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": "SW0372",
  "slug": "mpxa-2000",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/mpxa-2000.json"
  }
}