Eko Foundation Analysis Software with Transformers (EFAST) vs DeepRhythmAI

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 70/100 Comparability is an AI-graded 0–100 score of how directly these two tools compete — higher means a more apples-to-apples comparison.
VS
by Medicalgorithmics

AI Verdict

EFAST is designed for real-time cardiac insights during routine physical exams, leveraging digital stethoscopes to detect structural murmurs and atrial fibrillation. DeepRhythmAI, conversely, specializes in comprehensive, device-agnostic AI-powered arrhythmia detection and classification from ECG data, aiming to streamline reporting and reduce missed diagnoses across a wider range of arrhythmias. While both contribute to cardiac diagnostics, EFAST focuses on point-of-care auscultation, whereas DeepRhythmAI targets in-depth ECG analysis.

Choose Eko Foundation Analysis Software with Transformers (EFAST) if…

Choose EFAST if your primary need is real-time, immediate cardiac screening for structural murmurs and atrial fibrillation during routine patient examinations. This tool is ideal for clinicians who utilize Eko digital stethoscopes and require instant AI-powered insights directly at the point of care to guide further diagnostic steps.

View Eko Foundation Analysis Software with Transformers (EFAST) →

Choose DeepRhythmAI if…

Choose DeepRhythmAI if your focus is on highly accurate and efficient post-analysis of diverse ECG data for comprehensive arrhythmia detection and classification. This solution is best suited for healthcare providers seeking to streamline their ECG reporting workflows, reduce diagnostic errors across various ECG devices, and leverage a vast training dataset for superior diagnostic precision.

View DeepRhythmAI →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature Eko Foundation Analysis Software with Transformers (EFAST) DeepRhythmAI
Pricing Subscription-based, contact for details Contact vendor for pricing information
Deployment Cloud-based Software as a Medical Device (SaMD) Cloud-based, hardware-agnostic, SaaS, on-prem, hybrid
BAA Available Yes AI-estimated Yes AI-estimated
FDA Status Cleared AI-estimated Cleared AI-estimated
HIPAA Yes AI-estimated Yes AI-estimated

Head-to-Head

AI-generated assessment across six dimensions based on each tool's documented features and compliance posture. Grounded in public data — not a substitute for hands-on evaluation.

Usability

Eko Foundation Analysis Software with Transformers (EFAST)

EFAST is designed for real-time, point-of-care use, integrating seamlessly with Eko digital stethoscopes for an intuitive experience during patient exams. It offers real-time AI analysis, enhanced audio, and guided exams. In contrast, DeepRhythmAI is a backend algorithm that requires integration with third-party software for a user interface, making it less directly usable for clinicians without additional development.

Clinical Value

DeepRhythmAI

DeepRhythmAI demonstrates a broader scope of arrhythmia detection and classification, with compelling evidence from large-scale studies (DRAI MARTINI study) showing a significant reduction (75x to 114x) in missed diagnoses compared to human technicians. While EFAST provides strong metrics for specific conditions like structural murmurs and AFib, DeepRhythmAI's impact on overall arrhythmia detection and patient safety across a wider range of arrhythmias appears more profound.

Pricing & Value

Eko Foundation Analysis Software with Transformers (EFAST)

EFAST offers a more transparent pricing model, clearly stating it's subscription-based with an annual Eko+ membership and providing an estimated daily cost for its associated hardware. DeepRhythmAI's pricing is listed as 'enterprise' with no public details, making it harder for potential customers to evaluate its cost-effectiveness without direct inquiry.

Enterprise Readiness

DeepRhythmAI

DeepRhythmAI demonstrates stronger enterprise readiness with its explicit targeting of large health systems, robust API for integration with diverse ECG devices and EMRs, and comprehensive data standards and certifications (ISO/IEC 27001, FHIR, HL7, DICOM). While EFAST offers EMR integration and enterprise solutions, DeepRhythmAI's device-agnostic nature and broader integration capabilities make it more adaptable for complex enterprise environments.

Innovation

Tie

Both tools exhibit significant innovation. EFAST's real-time AI analysis during auscultation at the point of care and its status as the first FDA-cleared cardiovascular AI foundation model are highly innovative. DeepRhythmAI's use of a massive 250 billion+ heartbeat training dataset and its proven ability to drastically reduce missed diagnoses across a wide range of arrhythmias also represent a major leap in diagnostic capability.

Support & Docs

Eko Foundation Analysis Software with Transformers (EFAST)

Eko Health clearly outlines multiple support channels including a Help Center with FAQs, email support via a contact form, scheduled phone calls with their Customer Experience team, and resources for enterprise clients. DeepRhythmAI's available information on specific user-facing support and documentation is less explicit, making EFAST appear to have more readily accessible and comprehensive support.

Feature-by-Feature

Detail beyond the Quick Comparison summary. For pricing, deployment, BAA, FDA, and HIPAA see the Overview tab.

Feature Eko Foundation Analysis Software with Transformers (EFAST) DeepRhythmAI
Name Eko Foundation Analysis Software with Transformers (EFAST) DeepRhythmAI
Company Eko Health Medicalgorithmics S.A.
Description EFAST by Eko Health is an advanced, FDA-cleared AI model that assists clinicians in identifying structural murmurs associated with heart disease and detecting atrial fibrillation, providing real-time, actionable cardiac insights during routine exams. DeepRhythmAI is an FDA-cleared, cloud-based AI algorithm by Medicalgorithmics S.A. that revolutionizes cardiac arrhythmia detection and classification from ECG data, offering superior accuracy and efficiency for physicians.
Key Features (Cardiac Condition Detection) AI-powered structural murmur detection (93% sensitivity, 91% specificity); AI-powered atrial fibrillation (AFib) detection (95% sensitivity, 94% specificity) AI-powered arrhythmia detection and classification; Reduces missed diagnoses (14x to 114x fewer)
Integration Seamless integration with Eko digital stethoscopes (e.g., CORE 500); EMR integration for streamlined documentation Device-agnostic and integrates with various ECG devices; API available
Specialties Cardiology, Family Medicine, Internal Medicine Cardiology

Videos

Demos, reviews, and walkthroughs featuring Eko Foundation Analysis Software with Transformers (EFAST) and DeepRhythmAI.

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Frequently Asked Questions

EFAST by Eko Health is designed to assist clinicians in identifying structural murmurs associated with heart disease and detecting atrial fibrillation during routine exams. DeepRhythmAI by Medicalgorithmics S.A. focuses on comprehensive cardiac arrhythmia detection and classification from ECG data.
EFAST analyzes real-time auscultation data and requires integration with Eko digital stethoscopes, such as the CORE 500. DeepRhythmAI analyzes ECG data and is device-agnostic, meaning it integrates with various existing ECG devices.
EFAST provides real-time AI analysis during auscultation and offers EMR integration for streamlined documentation. DeepRhythmAI offers faster ECG reporting and analysis, claiming to streamline clinical workflows by up to 65% and reduce missed diagnoses by 14x to 114x.
EFAST reports 93% sensitivity and 91% specificity for structural murmur detection, and 95% sensitivity and 94% specificity for atrial fibrillation detection. DeepRhythmAI highlights its ability to reduce missed diagnoses significantly and improve workflow efficiency.
EFAST is an advanced AI model that assists clinicians using Transformers. DeepRhythmAI utilizes CNN and Transformer models, trained on over 250 billion annotated heartbeats for its AI-powered arrhythmia detection and classification.

Backers

Who funded each tool's parent company.

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