EchoMD Automated Ejection Fraction Software

by Bay Labs (now Caption Health)  · Based in United States → — AI-powered automated ejection fraction calculation for echocardiograms.
Cardiology Critical Care Emergency Medicine
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Overview

EchoMD Automated Ejection Fraction Software, developed by Bay Labs (now Caption Health), is an artificial intelligence (AI) tool designed to streamline and enhance the accuracy of left ventricular ejection fraction (EF) measurements from echocardiograms. Utilizing deep learning algorithms, the software automatically reviews relevant digital video clips from a patient’s echocardiography study, rates them according to image quality, and selects the optimal clips for EF calculation.

This automation eliminates the need for manual clip selection and manipulation, a process that is often time-consuming and prone to variability. Studies have demonstrated that EchoMD AutoEF exhibits less variability in EF evaluation compared to average cardiologist readings. The software is designed to integrate seamlessly into any DICOM PACS medical imaging environment, providing cardiologists with efficient and accurate AI-assisted analysis as part of their routine diagnostic workflow.

The algorithm was trained on a vast dataset of over 4 million images, representing 9,000 patients, to ensure robust performance across a range of patient conditions, including normal, obese, and those with varying EF values. Its primary purpose is to assist clinicians in obtaining accurate evaluations of ventricular function and aid in the interpretation of echocardiograms with greater efficiency, ultimately contributing to more effective care for cardiac patients.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated clip selection for echocardiograms
  • Automated Left Ventricular Ejection Fraction (EF) calculation
  • Deep learning algorithms for image analysis
  • Image quality rating and selection of best clips
  • Seamless integration with DICOM PACS systems
  • Reduced variability in EF measurement compared to manual methods
  • Increased efficiency in echocardiogram interpretation
  • Assists clinicians in cardiac evaluation
  • Trained on large datasets of echocardiogram images (4M+ images, 9K+ patients)
  • Supports diagnostic workflow in cardiology

Use Cases

  • Automated echocardiogram analysis
  • Left Ventricular Ejection Fraction (EF) measurement
  • Assisting clinicians in cardiac evaluation
  • Improving efficiency and accuracy in cardiovascular imaging
  • Supporting diagnostic workflow in cardiology

What Physicians Need to Know

Echocardiography AI Features
EchoMD Automated Ejection Fraction Software (AutoEF) uses AI to automate clip selection and calculation of left ventricular ejection fraction (LVEF) from echocardiograms. It reviews relevant digital video clips of cardiac cycles, rates them by image quality, and selects the best ones for EF calculation. The software was trained on over 4 million images from 9,000 patients. It aims to reduce the variability and time associated with manual LVEF measurements. The software can automatically calculate EF from standard parasternal long-axis (PLAX), parasternal short-axis (PSAX), 4-chamber, and 2-chamber views. It also displays a confidence interval for the EF estimate, which improves as more high-quality views are acquired. Studies have shown that the software's LVEF measurements correlate well with cardiac magnetic resonance imaging (cMRI) and can have less variability than cardiologist-reported measurements. The software is designed to provide accurate evaluation of ventricular function and aid in the interpretation of echocardiograms with greater efficiency.
Heart Failure Risk Prediction
The software assists in cardiac evaluations by providing automated estimation of left ventricular ejection fraction, a key indicator for heart failure. Low LVEF can progress undiagnosed, and AI-based screening may offer a scalable way to detect it. Studies have shown that AI models analyzing echocardiogram video clips can detect Heart Failure with Preserved Ejection Fraction (HFpEF) with high discrimination and can identify patients with higher mortality.
Cardiac Monitoring Integration
EchoMD AutoEF software can be integrated into any DICOM PACS medical imaging environment, providing results as a seamless part of routine diagnostic workflow.
Physician Tip

EchoMD AutoEF can significantly streamline the process of calculating Left Ventricular Ejection Fraction (LVEF) from echocardiograms, reducing subjectivity and variability. It's particularly useful for clinicians across a wide range of experience levels to obtain accurate evaluations of ventricular function. Ensure high-quality image acquisition, as this is key for the AI tool to accurately identify endocardial borders and trace the left ventricular cavity. The software can serve as a valuable tool for early detection of low LVEF, potentially aiding in the diagnosis and management of heart failure. While the software provides automated measurements, clinical context remains crucial for interpreting the results and guiding patient management.

The EchoMD AutoEF software is designed for integration into existing DICOM PACS medical imaging environments. This allows for a seamless workflow where the software processes previously acquired transthoracic cardiac ultrasound images and forwards the calculated LVEF results to a destination PACS server for clinician viewing.

Details

Category Cardiology AI, Radiology & Imaging AI
Pricing Contact for pricing
DeploymentOn-premise (via DICOM PACS integration)
Compliance
BAA AvailableUnknown
HIPAA Compliant Yes AI-estimated
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Cardiology, Critical Care, Emergency Medicine, Radiology

What the Web Says

EchoMD Automated Ejection Fraction Software, developed by Bay Labs (now Caption Health), is an AI-powered tool designed to automate the calculation of left ventricular ejection fraction (LVEF) from echocardiogram images. It aims to reduce variability and improve efficiency in cardiac assessments by automatically selecting optimal image clips and performing calculations. The software received FDA clearance in 2018 and has been shown in studies to have less variability than manual cardiologist readings.

Overall: Positive

Strengths

  • Reduces variability in LVEF measurements compared to manual cardiologist readings.
  • Automates clip selection and EF calculation, saving time and reducing manual effort.
  • Aids in interpretation and allows physicians to focus on patient context and treatment guidance.
  • Performs well across a range of patients, including obese individuals and those with varying EF values.
  • Can be integrated into existing DICOM PACS systems for a seamless workflow.
  • Trained on a large dataset of echocardiogram images, contributing to its accuracy.

Limitations

  • Information regarding direct physician reviews, healthcare IT reviews, tech reviewer opinions, Reddit, G2, or Capterra specifically for "EchoMD Automated Ejection Fraction Software" is limited or not readily available in the search results.
  • Most available information dates back to 2018 around its FDA clearance and initial study results, with less recent independent review data.
  • The software's effectiveness is dependent on the quality of the initial ultrasound images.
  • While it automates interpretation, a trained operator is still required to acquire the initial echocardiogram images.

Based on reviews from: fda.gov, radiologybusiness.com, auntminnie.com, directimagingservices.com, itnonline.com, dicardiology.com, healthdatamanagement.com, biospace.com, journalfeed.org, yespress.io, cardiovascularbusiness.com, bioworld.com, nih.gov, hcahealthcare.com, cardiovascularnews.com

Last updated: 2026-10-29

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Press & Coverage

cardiovascularbusiness.com
Caption Health gains FDA clearance for AI-powered ejection fraction software
Caption Health received FDA clearance for an updated version of its AI-powered ejection fraction (EF) assessment software, Caption Interpretation, which uses deep learning to identify helpful clips from ultrasound exams and provide high-quality EF measurements. This updated version, cleared in 2020, incorporates three ultrasound views, including the parasternal long-axis (PLAX) view, which was an industry first for automated EF calculation.
2020-07
cardiovascularnews.com
Caption Health gains FDA approval for updates to its cardiac AI system
Caption Health received FDA 510(k) clearance for an updated version of Caption Interpretation, enabling clinicians to obtain quick, easy, and accurate measurements of cardiac ejection fraction (EF) at the point of care. The technology uses end-to-end deep learning to automatically select the best clips from ultrasound exams, perform quality assurance, and produce an accurate EF measurement, incorporating three ultrasound views, including the parasternal long-axis (PLAX) view.
2020-07
prnewswire.com
Caption Health Receives FDA Clearance for Latest AI Advancement to Automatically Assess Cardiac Ejection Fraction at Bedside
Caption Health announced FDA 510(k) clearance for an updated version of Caption Interpretation™, which facilitates quick, easy, and accurate cardiac ejection fraction (EF) measurements at the point of care. This advancement, the company's third FDA clearance that year, incorporates three ultrasound views, including the parasternal long-axis (PLAX) view, for fully automated EF calculation.
2020-07
dicardiology.com
FDA Clears Caption Health AI-assisted Point-of-care Ejection Fraction Evaluation
Caption Health received FDA 510(k) clearance for an updated version of Caption Interpretation, an AI ultrasound tool that enables automatic cardiac ejection fraction measurements at the bedside. The software uses deep learning to select optimal clips from ultrasound exams, perform quality assurance, and produce accurate EF measurements, incorporating apical 4-chamber, apical 2-chamber, and parasternal long-axis views.
2020-08
nm.org
Northwestern Memorial Hospital First in Country to Adopt Caption AI in Multiple Clinical Settings
Northwestern Memorial Hospital became the first in the US to adopt Caption Health's AI technology, Caption AI, for ultrasound in multiple clinical settings. The FDA-cleared system guides healthcare providers in acquiring and interpreting quality ultrasound images of the heart, automatically calculating ejection fraction, a key measure of cardiac function.
2020-10
nih.gov
Artificial intelligence in medicine: a review of FDA-approved products
A review of FDA-approved AI products in medicine mentions EchoMD Automated Ejection Fraction Software by Bay Labs, Inc., which received 510(k) Premarket Notification in 2018 for echocardiogram analysis. This software is categorized as providing autonomous information, specifically the quantification of heart ejection fraction.
2021-04
fda.gov
EchoMD Automated Ejection Fraction Software - Recall
A recall was initiated by Caption Health on May 19, 2021, for version 1.2.0 of its Caption AI, Ultrasound Imaging System Application Software, due to an issue where unintended video frames could be included, potentially leading to incorrect automated ejection fraction (AutoEF) and image quality score (IQS) estimates. The recall was terminated on January 31, 2023.
2021-05
nih.gov
Artificial Intelligence in Perioperative Medicine: A Proposed Common Language With Applications to FDA-Approved Devices
The EchoMD Automated Ejection Fraction Software is noted for integrating with the Caption Guidance system from Caption Health Inc. to assist in correctly placing an echocardiogram transducer for automated ejection fraction calculation. This integration is highlighted as a transparent system due to the intuitive nature of the feedback provided regarding transducer placement.
2022-04

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Frequently Asked Questions

EchoMD Automated Ejection Fraction Software is an AI-powered tool designed to automatically calculate left ventricular ejection fraction (LVEF) from echocardiogram images. It uses deep learning to select the best video clips from an echocardiography study, assess their image quality, and then calculate the EF, aiming to reduce variability and save time compared to manual methods.
The software aims to provide accurate and efficient LVEF measurements, which are crucial for cardiac functional assessment. It can help clinicians across various experience levels obtain reliable evaluations of ventricular function and aid in interpreting echocardiograms more efficiently, ultimately leading to more effective patient care.
Yes, Caption Health (formerly Bay Labs) has received FDA 510(k) clearance for its EchoMD AutoEF software. The updated version, Caption Interpretation, also received FDA clearance in 2020.
A limitation noted in studies is the relatively low proportion of subjects with large LV volumes and/or low EF, severe valvular or myocardial diseases, or non-normal anatomy in the training data. While it performed well on obese patients and those with a range of normal and abnormal EF, these specific complex cases might represent a limitation.
Studies have shown that EchoMD AutoEF has less variability in evaluating LVEF compared to the average variability of cardiologists using the Simpson's biplane method. It automates clip selection and EF calculation, which are often time-consuming and variable manual processes.
Yes, EchoMD AutoEF software is designed to be integrated into any DICOM PACS medical imaging environment, providing cardiologists with results as a seamless part of their routine diagnostic workflow.
The EchoMD AutoEF software algorithm was trained on a carefully curated dataset of over 4 million images, representing 9,000 patients.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-17 | First Added: 2026-04-17
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