JSON twin: https://www.healthaidb.com/software/echogo-pro.json
Ultromics
https://www.ultromics.com/products/echogocore-pro
EchoGo Pro is an AI-driven decision-support software from Ultromics that analyses stress echocardiograms to aid clinicians in identifying coronary artery disease.
Cloud and locally deployable machine-learning tool that accepts DICOM stress echo studies (A2C, A4C, mid-ventricular short-axis at rest and peak stress), performs automated segmentation and risk prediction, and returns a PDF report to support diagnostic stress echocardiography for coronary artery disease. Not intended as a sole basis for patient management.
yes
2017
Cloud regions available (UK/EU and US cloud hosting options)
P2028
2025-09-07
commercial proprietary
contact vendor
subscription
2020
Modern web browser; cloud-hosted service (no on-prem server required for SaaS use)
product
1.0
{
"company_name": "Ultromics",
"company_url": "https://www.ultromics.com",
"company_offices": [
"United Kingdom",
"United States"
],
"company_founding": "2017",
"product_url": "https://www.ultromics.com/products/echogocore-pro",
"categories": [
"diagnostic",
"clinical",
"imaging",
"decision support",
"AI/ML",
"cardiology",
"workflow optimization"
],
"market_segment": [
"enterprise",
"health system",
"provider"
],
"links": [
"https://www.ultromics.com",
"https://www.ultromics.com/products/echogocore-pro",
"https://www.ultromics.com/solutions-for-health-systems",
"https://www.ultromics.com/press-releases/ultromics-receives-fda-clearance-for-a-first-of-kind-solution-in-echocardiography-to-help-clinicians-diagnose-disease",
"https://www.ultromics.com/press-releases/ultromics-ce-marks-ai-system-echogo-pro",
"https://healthairegister.com/products/ultromics-echogo-pro",
"https://www.ultromics.com/resources/the-proof",
"https://www.accessdata.fda.gov/cdrh_docs/pdf24/K240860.pdf"
],
"summary": "EchoGo Pro is an AI-driven decision-support software from Ultromics that analyses stress echocardiograms to aid clinicians in identifying coronary artery disease.",
"description": "Cloud and locally deployable machine-learning tool that accepts DICOM stress echo studies (A2C, A4C, mid-ventricular short-axis at rest and peak stress), performs automated segmentation and risk prediction, and returns a PDF report to support diagnostic stress echocardiography for coronary artery disease. Not intended as a sole basis for patient management.",
"target_users": [
"clinicians",
"cardiologists",
"echocardiography/sonography technicians",
"imaging physicians",
"hospital radiology/cardiac imaging departments",
"health system administrators"
],
"specialties": [
"cardiology",
"echocardiography",
"cardiac imaging",
"cardiovascular disease"
],
"regions_available": [
"United States",
"United Kingdom",
"European Union"
],
"languages_supported": [
""
],
"pricing_model": "subscription",
"pricing_details": "contact vendor",
"license": "commercial proprietary",
"deployment_model": [
"cloud/SaaS"
],
"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 Core (automated quantification)",
"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"
],
"data_standards": [
"DICOM",
"HL7 (interfaces)",
"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 (EchoGo Pro)",
"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": [
"Mayo Clinic",
"Northwestern Medicine",
"University of Texas Southwestern",
"University of Chicago",
"NHS (UK)",
"Participating NHS hospitals (EVAREST trial sites)"
],
"user_reviews": [],
"ratings": [],
"support_channels": [
"ticketing",
"email",
"contact form",
"customer support portal"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite"
],
"release_year": "2020",
"integration_partners": [
"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)"
],
"id": "P2028",
"slug": "echogo-pro",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/echogo-pro.json"
}
}