Eko Low Ejection Fraction Tool (ELEFT) vs Aorta-CAD

Similar category, different focus. These tools serve overlapping but distinct needs. Comparability 60/100 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 Imagen Technologies

AI Verdict

Eko Low Ejection Fraction Tool (ELEFT) aids clinicians in detecting low ejection fraction using digital stethoscopes during physical exams, focusing on early heart failure risk. In contrast, Aorta-CAD by Imagen Technologies analyzes chest X-rays to identify signs of aortic atherosclerosis and ectasia, integrating into radiology workflows. While both are FDA-cleared AI tools for cardiology, they address different cardiovascular conditions through distinct diagnostic modalities.

Choose Eko Low Ejection Fraction Tool (ELEFT) if…

Choose Eko Low Ejection Fraction Tool (ELEFT) if your primary objective is to conduct early, non-invasive screening for low ejection fraction and potential heart failure risk during routine physical examinations. This tool is ideal for clinicians who utilize digital stethoscopes and seek an AI-powered aid to quickly assess cardiac function at the point of care, integrating seamlessly into existing patient encounters.

View Eko Low Ejection Fraction Tool (ELEFT) →

Choose Aorta-CAD if…

Choose Aorta-CAD if you require AI assistance in accurately identifying signs of Aortic Atherosclerosis and Aortic Ectasia directly from chest X-rays. This cloud-based software is best suited for healthcare settings where chest X-ray interpretation is a routine part of diagnosis, and you aim to enhance the detection of these specific aortic conditions within existing radiology workflows.

View Aorta-CAD →

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Quick Comparison

Feature Eko Low Ejection Fraction Tool (ELEFT) Aorta-CAD
Pricing Unknown Contact for pricing
Deployment Unknown Cloud-based
BAA Available Unknown Yes AI-estimated
FDA Status Cleared AI-estimated Cleared AI-estimated
HIPAA Unknown 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 Low Ejection Fraction Tool (ELEFT)

Tool A (ELEFT) integrates with Eko digital stethoscopes, providing results in approximately 15 seconds during a routine physical exam, which suggests a highly efficient and immediate user experience at the point of care. While Tool B (Aorta-CAD) also integrates seamlessly into existing X-ray workflows, ELEFT's real-time feedback during a physical examination offers a potentially more interactive and direct usability advantage for clinicians.

Clinical Value

Aorta-CAD

Tool B (Aorta-CAD) provides specific, quantified clinical study results, demonstrating a 62% relative reduction in misses for aortic calcification and a 35% relative reduction in misses for dilated aorta. This direct evidence of improved diagnostic accuracy offers a strong, measurable claim for its clinical value. While Tool A (ELEFT) aids in early detection of low ejection fraction, it does not provide comparable quantified clinical outcomes in the provided data.

Pricing & Value

Tie

Both Tool A (ELEFT) and Tool B (Aorta-CAD) require direct contact for pricing information, indicating a lack of transparency regarding costs. Without specific pricing details or comprehensive return-on-investment data for either solution, it is impossible to definitively determine which offers better value.

Enterprise Readiness

Eko Low Ejection Fraction Tool (ELEFT)

Both tools are FDA-cleared, HIPAA compliant, offer BAAs, and are cloud-based, indicating a strong foundation for enterprise deployment. However, Tool A (ELEFT) explicitly states it is part of Eko's SENSORAu2122 platform, an 'enterprise solution,' suggesting a more comprehensive and structured offering designed for larger organizational integration and management. This explicit mention of an enterprise platform gives Tool A a slight edge in stated enterprise readiness.

Innovation

Eko Low Ejection Fraction Tool (ELEFT)

Tool A (ELEFT) demonstrates innovation by integrating AI-powered diagnostics directly into a traditional physical exam tool, the digital stethoscope, for real-time, non-invasive detection of low ejection fraction. This approach shifts advanced diagnostics to the point of care. While Tool B (Aorta-CAD) uses deep learning for X-ray interpretation, which is also innovative, ELEFT's integration with a physical diagnostic device for immediate assessment during a routine exam represents a more novel application in the healthcare AI space.

Support & Docs

Tie

Neither the provided structured facts nor general web searches revealed specific details about the depth, quality, or breadth of support and documentation that would allow for a clear differentiation between the two tools. Both companies appear to offer standard support resources like help centers and contact options.

Feature-by-Feature

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

Feature Eko Low Ejection Fraction Tool (ELEFT) Aorta-CAD
Tool Name Eko Low Ejection Fraction Tool (ELEFT) Aorta-CAD
Company Eko Health Imagen Technologies
Primary Input/Modality ECG and heart sound recordings from Eko digital stethoscopes Chest X-rays
Detected Conditions Low ejection fraction (key indicator of heart failure) Signs of Aortic Atherosclerosis and Aortic Ectasia
Key Function/Analysis AI-powered low ejection fraction detection; analyzes ECG and heart sound recordings; provides results in approximately 15 seconds. Detects and highlights radiographic findings; utilizes deep learning algorithms for analysis; integrates into existing X-ray reading workflows; creates annotations.
Specialties Cardiology, Family Medicine, Internal Medicine Cardiology, Internal Medicine, Radiology

Videos

Demos, reviews, and walkthroughs featuring Eko Low Ejection Fraction Tool (ELEFT) and Aorta-CAD.

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Frequently Asked Questions

Eko Low Ejection Fraction Tool (ELEFT) integrates with Eko digital stethoscopes during routine physical exams, providing results in approximately 15 seconds to aid in the early identification of heart failure risk. Aorta-CAD by Imagen Technologies integrates seamlessly into existing X-ray reading workflows, assisting physicians in detecting signs of Aortic Atherosclerosis and Aortic Ectasia on chest X-rays by providing togglable annotations.
ELEFT has been clinically validated in a multi-site study of 3,456 patients, achieving an AUROC of 0.835 for detecting LVEF less than 40%, with 74.7% sensitivity and 77.5% specificity. Aorta-CAD demonstrated a 62% relative reduction in misses for aortic calcification suggestive of Aortic Atherosclerosis and a 35% relative reduction in misses for dilated aorta suggestive of Aortic Ectasia in a clinical study.
ELEFT is designed to integrate into routine physical exams using Eko digital stethoscopes, suggesting a minimal learning curve for users already familiar with the stethoscope. Aorta-CAD integrates seamlessly into existing X-ray reading workflows with an overlay feature that can be toggled on/off, implying a straightforward adoption for physicians interpreting chest X-rays without requiring costly re-training.
ELEFT is intended to aid clinicians in identifying individuals with Left Ventricular Ejection Fraction (LVEF) less than or equal to 40%, particularly patients at risk for heart failure, such as those with coronary artery disease, diabetes mellitus, cardiomyopathy, hypertension, and obesity. Aorta-CAD assists physicians in detecting radiographic findings suggestive of Aortic Atherosclerosis and Aortic Ectasia on chest X-rays, making it suitable for patients undergoing routine chest X-rays where these conditions might be identified.
The description for ELEFT does not explicitly detail audit-trail features for reviewing AI findings, beyond providing results for clinical aid. Aorta-CAD creates annotations via an overlay that can be toggled on/off, allowing physicians to review and validate the AI's highlighted findings within their existing X-ray reading workflow.

Backers

Who funded each tool's parent company.

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