JSON twin: https://www.healthaidb.com/software/anumana.json
Anumana
Anumana provides AI-powered ECG/EGM analytics and a web-based ECG Viewer to detect and predict cardiovascular disease and support peri-procedural decision-making.
Anumana (from nference and Mayo Clinic) develops regulated AI software that analyzes 12‑lead and single‑lead ECGs (and EGM/EHR data) to screen for conditions such as low ejection fraction, cardiac amyloidosis, and pulmonary hypertension; products include the FDA‑cleared ECG‑AI LEF algorithm, an ECG Viewer dashboard, peri‑procedural electrophysiology tools, and API/EHR integrations for point‑of‑care clinical decision support and research.
unknown
2021
P0120
2025-09-07
proprietary commercial
Contact vendor for pricing, enterprise licensing and deployment options; commercial launch with vendor engagement required.
enterprise_quote
2021
product
1.0
{
"company_name": "Anumana",
"company_url": "https://anumana.ai/",
"company_offices": [
"United States"
],
"company_founding": "2021",
"product_url": "https://anumana.ai/ecg-ai-lef",
"categories": [
"clinical",
"diagnostic",
"cardiology",
"electrophysiology",
"decision support",
"AI/ML",
"medical device",
"perioperative"
],
"market_segment": [
"enterprise",
"healthcare providers"
],
"links": [
"https://anumana.ai/",
"https://anumana.ai/ecg-ai-lef",
"https://anumana.ai/about-us",
"https://anumana.ai/newsroom/ZRo9DhAAACYAxfsK",
"https://www.accessdata.fda.gov/cdrh_docs/pdf23/K232699.pdf",
"https://elion.health/products/anumana",
"https://www.usa.philips.com/a-w/about/news/archive/standard/news/press/2025/philips-launches-ecg-ai-marketplace-to-enhance-early-cardiac-diagnosis.html",
"https://pmc.ncbi.nlm.nih.gov/articles/PMC12017965/"
],
"summary": "Anumana provides AI-powered ECG/EGM analytics and a web-based ECG Viewer to detect and predict cardiovascular disease and support peri-procedural decision-making.",
"description": "Anumana (from nference and Mayo Clinic) develops regulated AI software that analyzes 12‑lead and single‑lead ECGs (and EGM/EHR data) to screen for conditions such as low ejection fraction, cardiac amyloidosis, and pulmonary hypertension; products include the FDA‑cleared ECG‑AI LEF algorithm, an ECG Viewer dashboard, peri‑procedural electrophysiology tools, and API/EHR integrations for point‑of‑care clinical decision support and research.",
"target_users": [
"cardiologists",
"electrophysiologists",
"primary care clinicians",
"hospitalists",
"health system administrators",
"clinical researchers",
"clinical informaticists"
],
"specialties": [
"cardiology",
"electrophysiology",
"primary care",
"perioperative cardiac care",
"imaging/diagnostic support"
],
"regions_available": [
"United States",
"International"
],
"languages_supported": [
"English"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, enterprise licensing and deployment options; commercial launch with vendor engagement required.",
"license": "proprietary commercial",
"deployment_model": [
"SaaS",
"SaMD (cloud)"
],
"os_platforms": [
"Web"
],
"features": [
"AI detection of low left ventricular ejection fraction (LEF) from 12-lead ECG",
"Web-based zero-footprint ECG Viewer",
"Prior ECG history timeline with real-time AI results",
"Clinical risk screening workflow integration",
"Clinically validated model (multi-site studies, EAGLE trial)",
"Supports point-of-care screening in primary, outpatient and ED settings",
"Category III CPT® codes support for reimbursement",
"Model trained on paired ECG-echo datasets (>100,000 pairs)",
"Integration with ECG information management systems",
"Partnered algorithm development (Mayo Clinic, nference)"
],
"optional_modules": [],
"integrations": [
"ECG information management systems (generic)",
"Electronic Health Records (direct EHR integration via web viewer)",
"Philips (ECG AI Marketplace integration)",
"AliveCor (announced collaboration)"
],
"data_standards": [],
"api_available": "unknown",
"system_requirements": "",
"compliance": [
"FDA 510(k) clearance (product regulatory status)",
"FDA Breakthrough Device designation (historical/designation)",
"PHI-secure / HIPAA-compliant infrastructure (stated)"
],
"certifications": [
"FDA 510(k) clearance",
"FDA Breakthrough Device designation"
],
"security_features": [
"Secure web-based viewer / PHI protection",
"Vulnerability disclosure program"
],
"privacy_features": [],
"data_residency": "",
"customers": [
"Philips (ECG AI Marketplace integration)",
"Mayo Clinic",
"nference",
"Pfizer",
"AliveCor",
"InfoBionic (InfoBionic.Ai)",
"Novartis (collaboration)",
"Boston Scientific (investor/partner)"
],
"user_reviews": [],
"ratings": [
"FDA 510(k) clearance for ECG-AI LEF (K232699) — Sept 2023",
"FDA Breakthrough Device designation (early algorithm) — 2019",
"Two AMA Category III CPT codes assigned for ECG-AI procedures (+0764T, 0765T) — effective Jan 1, 2023"
],
"support_channels": [
"website_contact_form",
"demo_request",
"email"
],
"training_options": [
"documentation",
"webinars",
"live_online"
],
"release_year": "2021",
"integration_partners": [
"Philips",
"AliveCor",
"InfoBionic",
"Mayo Clinic",
"nference",
"Pfizer",
"Novartis",
"Boston Scientific"
],
"id": "P0120",
"slug": "anumana",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/anumana.json"
}
}