Anumana empowers clinicians to act on the heart's hidden messages. Our AI unlocks clinical insights from every heartbeat to identify at-risk patients earlier and inform ongoing care.
Anumana’s technology platform is built on more than 22 million patient records spanning more than 20 years through exclusive partnerships with leading academic medical centers.1 Our ECG-AI™ analyzes the heart’s electrical signals to reveal insights beyond human detection capabilities. Anumana’s algorithms provide clinically validated insights that help enable earlier intervention and improved patient outcomes.
Contact us to discuss implementation and how ECG-AI can benefit your practice and patients.
Anumana's ECG-AI™ LEF Differentiators1,2
Scientific Depth
Clinically validated, model developed using ≈ 2.9 million ECG-echo pairs from 676,000+ patients across diverse populations.
Portfolio Breadth
Anumana's flagship algorithm detects low ejection fraction (LEF) and is available for clinical use in the US and EU. Additionally, we have a portfolio of cardiac-focused algorithms in development.
Clinical Utility
Seamless EHR integration, works with many ECG systems commonly used in clinical practice, fits into current workflow,
eligible for reimbursement today.
How It Works: ECG-AI in Action
Anumana's AI engine analyzes 60,000 ECG data points, identifies cardiac disease signals invisible to the human eye, and delivers binary findings to support ongoing care.
Anumana AI Can Provide Life-Changing Outcomes
SCIENTIFIC STUDIES
Rigorously Evaluated. Continuously Advancing.
The science behind Anumana’s portfolio of algorithms has been developed and evaluated in more than 100 peer-reviewed publications and presentations. Our pipeline continues to expand - from early disease detection to breakthrough perioperative imaging technologies that provide real-time guidance for complex cardiac interventions.
Read moreMultisite, External Validation of an AI-Enabled ECG Algorithm for Detection of Low Ejection Fraction
JACC
January 16, 2026
Predicting Heart Failure From 12-Lead ECGs Using AI: A HeartShare/AMP-HF Pooled Cohort Analysis
JACC
November 12, 2025
Validation of Noninvasive Detection of Hyperkalemia by Artificial Intelligence-Enhanced Electrocardiography in High Acuity Settings
CJASN
August 25, 2025
Cost-Effectiveness of AI-Enabled Electrocardiograms for Early Detection of Low Ejection Fraction: A Secondary Analysis of the EAGLE Trial
Mayo Clinic Proceedings: Digital Health
October 25, 2024
Artificial Intelligence Evaluation of Electrocardiographic Characteristics and Interval Changes in Transgender Patients on Gender-Affirming Hormone Therapy
European Heart Journal
October 14, 2024
Artificial Intelligence-Enhanced Electrocardiography Identifies Patients With Normal Ejection Fraction at Risk of Worse Outcomes
ScienceDirect
September 27, 2024
Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial
Nature Medicine
September 1, 2024
Predictors of mortality by an artificial intelligence enhanced electrocardiogram model for cardiac amyloidosis
Wiley Online Library
August 30, 2024
Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure
Nature Medicine
January 6, 2024
INTEGRATION
Seamless and Secure
Deploy Anumana directly within your EHR and on your own servers. No PHI data is exported for external processing which simplifies integration and minimizes security and privacy risks.
EHR Integration
EHR Configuration
- Create ECG-AI orderable and results view for clinical workflow integration.
- Configure HL7 datapoints for seamless data exchange.
- Set up CPT III codes for charge capture.
IT Infrastructure
- Configure virtual machine requirements and network access.
- Install ECG-AI framework software (including FDA cleared LEF algorithm).
ECG Management System Integration*
Attributes
- Configure digital waveform files (XML or DICOM) for automated processing.
- Anumana algorithmic processing occurs entirely within the ECG management system framework.
- Define customized ECG-AI and ECG outputs as required.
*Available on compatible ECG Management Systems..
WORKFLOW
Uninterrupted, Unchanged
Your institution’s workflow stays exactly the same – no new systems, no disruptions.
- ECG orders and lab processes remain unchanged.
- Anumana AI runs securely inside your environment.
- Instant AI results flow directly into your EHR.
- Administrators maintain complete data control.
Your ECG, your way – smarter and faster.
LATEST
Anumana in the news
Let’s talk about how we can work together.
1 Anumana data on file.
2FDA Clearance K250652 for ECG-AI LEF.