EchoGo Core

JSON twin: https://www.healthaidb.com/software/echogo-core.json

Company Name

Ultromics

Product URL

https://www.ultromics.com/echocardiography-analysis

Company URL

https://www.ultromics.com

Categories

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

Summary

EchoGo Core is an AI-powered platform that automates echocardiography analysis, providing rapid and accurate cardiac diagnostics to support clinicians in diagnosing heart conditions.

Description

EchoGo Core is an AI-driven software solution developed by Ultromics to automate the analysis of echocardiogram images. It measures key cardiac parameters such as ejection fraction, global longitudinal strain, and left ventricular volumes, delivering quantitative reports that assist clinicians in diagnosing heart conditions. The platform is designed to enhance diagnostic accuracy, reduce variability, and improve workflow efficiency in clinical settings. EchoGo Core is FDA-cleared and CE-marked, ensuring its safety and effectiveness for use in adult populations. It is compatible with various ultrasound devices and integrates seamlessly into existing clinical workflows, offering a cloud-based service that eliminates the need for manual contouring and reduces operator dependency. The platform has been validated through multiple studies, demonstrating its reliability and precision in cardiac diagnostics.

Api Available

yes

Certifications

• FDA 510(k) clearance
• CE mark
• ISO 27001
• ISO 13485

Company Founding

2017

Company Offices

• United Kingdom
• United States
• Australia
• Germany
• France
• Spain
• Italy
• Netherlands
• Sweden
• Denmark

Compliance

• HIPAA
• GDPR
• UK Data Protection regulations

Customers

Data Residency

Cloud regions available (UK/EU and US cloud hosting options)

Data Standards

• DICOM
• HL7
• FHIR

Deployment Model

• cloud/SaaS
• locally virtualized (virtual machine, Docker)

Features

• Automated echocardiography quantification (LV volumes, LVEF)
• Automated global longitudinal strain measurement
• Stress-echocardiography CAD detection (EchoGo Pro module)
• HFpEF detection and risk prediction
• Cardiac amyloidosis detection module
• AI-driven diagnostic decision support and risk scores
• Vendor-neutral DICOM ingest and PACS connectivity
• Automated report generation (cloud-based)
• Batch processing / high-throughput analysis
• Clinical analytics and outcomes reporting
• Quality control and image triage assistance
• Clinician user interface with visual overlays and measurements

Id

SW0436

Integration Partners

Integrations

• PACS (DICOM)
• Hospital EHR / EMR systems (via integration)
• RIS/reporting systems
• DICOM modalities (ultrasound vendors)
• Clinical workflow systems / reporting viewers
• Microsoft Azure Marketplace
• Johnson & Johnson Innovative Medicine
• Pfizer
• Mayo Clinic
• Northwestern Medicine
• University of Texas Southwestern
• University of Chicago
• Foundation for the NIH (FNIH)
• NHS
• Halo ITSM (support portal)

Languages Supported

• English
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Swedish
• Danish
• Norwegian
• Finnish
• Polish
• Czech
• Hungarian
• Romanian
• Bulgarian
• Greek
• Turkish
• Russian
• Chinese
• Japanese

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB

Optional Modules

• EchoGo Pro (stress-echo CAD detection)
• EchoGo Amyloidosis
• EchoGo Heart Failure (HFpEF detection)

Os Platforms

• Web (browser)

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• Business Associate Agreement (BAA) available
• Patient data minimization and de-identification support for research

Product Code

SW0436

Product Name

EchoGo Core

Ratings

Regions Available

• United States
• European Union
• United Kingdom
• Australia
• Asia

Related Urls

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

Release Year

Security Features

• Data encryption in transit and at rest
• Role-based access control (RBAC)
• SSO/SAML support
• Audit logging
• Multi-factor authentication (MFA/2FA)

Specialties

• Cardiology
• Echocardiography
• Heart Failure
• Coronary Artery Disease
• Cardiac Amyloidosis

Support Channels

System Requirements

Modern web browser; cloud-hosted service (no on-prem server required for SaaS use)

Target Users

• Clinicians
• Cardiologists
• Medical Imaging Technologists
• Healthcare Providers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "EchoGo Core",
  "company_name": "Ultromics",
  "product_url": "https://www.ultromics.com/echocardiography-analysis",
  "company_url": "https://www.ultromics.com",
  "related_urls": [
    "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
  ],
  "product_code": "SW0436",
  "summary": "EchoGo Core is an AI-powered platform that automates echocardiography analysis, providing rapid and accurate cardiac diagnostics to support clinicians in diagnosing heart conditions.",
  "description": "EchoGo Core is an AI-driven software solution developed by Ultromics to automate the analysis of echocardiogram images. It measures key cardiac parameters such as ejection fraction, global longitudinal strain, and left ventricular volumes, delivering quantitative reports that assist clinicians in diagnosing heart conditions. The platform is designed to enhance diagnostic accuracy, reduce variability, and improve workflow efficiency in clinical settings. EchoGo Core is FDA-cleared and CE-marked, ensuring its safety and effectiveness for use in adult populations. It is compatible with various ultrasound devices and integrates seamlessly into existing clinical workflows, offering a cloud-based service that eliminates the need for manual contouring and reduces operator dependency. The platform has been validated through multiple studies, demonstrating its reliability and precision in cardiac diagnostics.",
  "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": [
    "Clinicians",
    "Cardiologists",
    "Medical Imaging Technologists",
    "Healthcare Providers"
  ],
  "specialties": [
    "Cardiology",
    "Echocardiography",
    "Heart Failure",
    "Coronary Artery Disease",
    "Cardiac Amyloidosis"
  ],
  "regions_available": [
    "United States",
    "European Union",
    "United Kingdom",
    "Australia",
    "Asia"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Swedish",
    "Danish",
    "Norwegian",
    "Finnish",
    "Polish",
    "Czech",
    "Hungarian",
    "Romanian",
    "Bulgarian",
    "Greek",
    "Turkish",
    "Russian",
    "Chinese",
    "Japanese"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "United Kingdom",
    "United States",
    "Australia",
    "Germany",
    "France",
    "Spain",
    "Italy",
    "Netherlands",
    "Sweden",
    "Denmark"
  ],
  "company_founding": "2017",
  "deployment_model": [
    "cloud/SaaS",
    "locally virtualized (virtual machine, Docker)"
  ],
  "os_platforms": [
    "Web (browser)"
  ],
  "features": [
    "Automated echocardiography quantification (LV volumes, LVEF)",
    "Automated global longitudinal strain measurement",
    "Stress-echocardiography CAD detection (EchoGo Pro module)",
    "HFpEF detection and risk prediction",
    "Cardiac amyloidosis detection module",
    "AI-driven diagnostic decision support and risk scores",
    "Vendor-neutral DICOM ingest and PACS connectivity",
    "Automated report generation (cloud-based)",
    "Batch processing / high-throughput analysis",
    "Clinical analytics and outcomes reporting",
    "Quality control and image triage assistance",
    "Clinician user interface with visual overlays and measurements"
  ],
  "optional_modules": [
    "EchoGo Pro (stress-echo CAD detection)",
    "EchoGo Amyloidosis",
    "EchoGo Heart Failure (HFpEF detection)"
  ],
  "integrations": [
    "PACS (DICOM)",
    "Hospital EHR / EMR systems (via integration)",
    "RIS/reporting systems",
    "DICOM modalities (ultrasound vendors)",
    "Clinical workflow systems / reporting viewers",
    "Microsoft Azure Marketplace",
    "Johnson & Johnson Innovative Medicine",
    "Pfizer",
    "Mayo Clinic",
    "Northwestern Medicine",
    "University of Texas Southwestern",
    "University of Chicago",
    "Foundation for the NIH (FNIH)",
    "NHS",
    "Halo ITSM (support portal)"
  ],
  "data_standards": [
    "DICOM",
    "HL7",
    "FHIR"
  ],
  "api_available": "yes",
  "system_requirements": "Modern web browser; cloud-hosted service (no on-prem server required for SaaS use)",
  "compliance": [
    "HIPAA",
    "GDPR",
    "UK Data Protection regulations"
  ],
  "certifications": [
    "FDA 510(k) clearance",
    "CE mark",
    "ISO 27001",
    "ISO 13485"
  ],
  "security_features": [
    "Data encryption in transit and at rest",
    "Role-based access control (RBAC)",
    "SSO/SAML support",
    "Audit logging",
    "Multi-factor authentication (MFA/2FA)"
  ],
  "privacy_features": [
    "Business Associate Agreement (BAA) available",
    "Patient data minimization and de-identification support for research"
  ],
  "data_residency": "Cloud regions available (UK/EU and US cloud hosting options)",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW0436",
  "slug": "echogo-core",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/echogo-core.json"
  }
}