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EchoMD AutoEF
by Caption Health (formerly Bay Labs, now part of GE HealthCare)
· Based in United States →
— AI-powered software for automated echocardiogram analysis.
Overview
EchoMD AutoEF is an AI-powered software feature developed by Caption Health (now part of GE HealthCare) that assists in the automated calculation of left ventricular ejection fraction (LVEF) from echocardiogram images.
- What it does: EchoMD AutoEF automatically reviews relevant digital video clips from an echocardiography study, assesses image quality, selects optimal clips, and calculates the LVEF. This process is designed to reduce the need for manual clip selection and manipulation, which can be time-consuming and variable. The software can calculate LVEF from one or a combination of parasternal long-axis (PLAX), apical two-chamber (AP2), and apical four-chamber (AP4) views.
- Who it is for: This tool is intended for medical professionals across various specialties and care settings, including those without extensive ultrasound experience. It aims to expand access to cardiac ultrasound examinations in settings such as emergency rooms, critical care units, doctors’ offices, and potentially even in patients’ homes.
- How it fits a clinical or practice workflow: EchoMD AutoEF integrates into the existing diagnostic workflow, providing cardiologists and other clinicians with automated EF calculations as part of routine echocardiogram analysis. It can be integrated into DICOM PACS medical imaging environments. When paired with Caption Guidance software, it provides real-time guidance during image acquisition, helping users position the transducer for diagnostic-quality images and automatically capturing the best clips.
- Notable capabilities: A key capability is its AI-driven automation of LVEF calculation, which is a widely used metric for assessing heart function. The software is designed to improve efficiency and potentially reduce variability in EF assessment. It also offers real-time feedback on image quality and can auto-capture optimal video clips.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Fully automated clip selection from echocardiograms
- Automated calculation of left ventricular ejection fraction (EF)
- AI-powered deep learning algorithms trained on large datasets
- Integration with DICOM PACS medical imaging environments
- Reduced variability in EF estimation compared to manual methods
- Real-time guidance for image acquisition (as part of Caption AI suite)
- Automated diagnostic-quality video recording (as part of Caption AI suite)
- Seamless EHR integration (for EchoMD, a related AI documentation platform)
- Advanced security and compliance for patient data protection (for EchoMD, a related AI documentation platform)
- Voice assistance for EMR updates (for EchoMD, a related AI documentation platform)
Use Cases
- Assisting cardiologists in decision-making and enhancing patient care
- Improving efficiency and accuracy of echocardiogram analysis
- Enabling clinicians across a wide range of experience to obtain accurate evaluation of ventricular function
- Reducing variability and improving reproducibility in reporting ejection fraction
- Expanding access to high-quality echocardiography image acquisition and interpretation
- Streamlining clinical workflows and automating documentation (for EchoMD, a related AI documentation platform)
What Physicians Need to Know
Echocardiography AI Features
EchoMD AutoEF is an AI-powered software that automates the selection of optimal echocardiogram clips and calculates the left ventricular ejection fraction (LVEF). It reviews all relevant digital video clips from a patient's echocardiography study, rates them by image quality, and selects the best ones for EF calculation. The software's deep-learning algorithms were trained on over 4 million images from 9,000 patients. This automation aims to reduce the time-consuming and variable process of manual clip selection and quantification.
Heart Failure Risk Prediction
The primary function of EchoMD AutoEF is the automated calculation of Left Ventricular Ejection Fraction (LVEF), a key metric for cardiac function and a basis for many clinical decisions, including those related to heart failure. While not explicitly a 'risk prediction' tool, accurate and efficient LVEF measurement is crucial for diagnosing and managing heart failure.
Cardiac Monitoring Integration
EchoMD AutoEF software can be integrated into any DICOM picture archiving and communication system (PACS) medical imaging environment, providing cardiologists with results as a seamless part of their routine diagnostic workflow. It operates as a microservice background function, communicating with ultrasound systems and PACS workstation systems. The software also quantifies image quality and displays the quality level alongside relevant images.
AHA/ACC Guideline Alignment
Left ventricular ejection fraction (EF) is the most widely used metric of cardiac function and is a cornerstone for many clinical decisions, aligning with general cardiology guidelines. The software aims to provide accurate evaluation of ventricular function, aiding in the interpretation of echocardiograms with greater efficiency.
Physician Tip
EchoMD AutoEF can significantly streamline the echocardiogram analysis workflow by automating LVEF calculation and clip selection, potentially reducing variability and improving efficiency in reporting. This allows clinicians to dedicate more time to contextualizing results for patient prognosis and management. The software performs well across a range of patients, including obese individuals and those with normal and abnormal EF. It's important to remember that while the AI assists in quantification, clinical judgment remains paramount for comprehensive patient care.
EchoMD AutoEF is designed for seamless integration into existing DICOM PACS medical imaging environments. It functions as a background microservice, interacting with ultrasound systems and PACS workstations. Bay Labs has also collaborated with Edwards Lifesciences to integrate EchoMD algorithms, including AutoEF, into their CardioCare quality care navigation platform for investigational use, aiming to improve heart disease detection. Future integrations may involve further development of AI-powered algorithms within the EchoMD suite.
Details
| Category | Cardiology AI |
| Pricing | Unknown — unknown |
| Deployment | Integrates into any DICOM PACS medical imaging environment. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Unknown AI-estimated EchoMD AutoEF received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in June 2018 for fully automated clip selection and calculation of left ventricular ejection fraction (EF). This clearance allows the software to assist clinicians in cardiac evaluations by providing automated estimation of EF. |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Critical Care, Radiology |
What the Web Says
EchoMD AutoEF, developed by Bay Labs, is an AI-powered software designed to automate the selection of echocardiogram clips and calculate left ventricular ejection fraction (EF). It received FDA 510(k) clearance in 2018 and has been shown in studies to have less variability in EF evaluation compared to cardiologists using traditional methods. The software aims to improve efficiency and accuracy in cardiac function assessment, allowing clinicians to focus more on patient care.
Overall: PositiveStrengths
- Less variability in EF evaluation compared to manual methods.
- Accurate and fully automated EF calculation without user intervention.
- Performs well on diverse patient populations, including obese patients and those with a range of EF values.
- Eliminates the need for manual clip selection and manipulation, saving time.
- Can be integrated into existing DICOM PACS medical imaging environments.
- Allows clinicians to focus more on patient context and management.
Limitations
- Limited recent reviews or discussions from physicians, healthcare IT, or tech reviewers (most available information is from 2018-2019).
- No specific reviews found on G2 or Capterra.
- Reddit discussions on AI in cardiology are general and don't specifically focus on EchoMD AutoEF, though some mention auto EF as a helpful workflow tool.
- Some general concerns on Reddit about AI creating more work or requiring extensive validation for diagnostics.
Based on reviews from: AuntMinnie, DAIC, BioSpace, Smart Telecardiology, Reddit
Last updated: 2026-10-03
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Press & Coverage
BioSpace
Bay Labs' EchoMD AutoEF Software Receives FDA Clearance for Fully Automated AI Echocardiogram Analysis
Bay Labs announced that its EchoMD AutoEF software received 510(k) clearance from the U.S. Food and Drug Administration (FDA) for fully automated clip selection and calculation of left ventricular ejection fraction (EF), a key metric of cardiac function. The software uses AI algorithms trained on millions of images to eliminate manual selection and manipulation of echocardiogram clips, aiming to improve efficiency and accuracy in cardiac function evaluation.
2018-06
Diagnostic and Interventional Cardiology (DAIC)
FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis
Bay Labs' EchoMD AutoEF software has received FDA 510(k) clearance for its AI-powered automated clip selection and calculation of left ventricular ejection fraction (EF) from echocardiograms. This technology aims to streamline the diagnostic workflow by automatically reviewing and selecting the best cardiac video clips for EF calculation.
2018-06
Imaging Technology News
AI-assisted echocardiogram analysis improves reproducibility of LVEF measurements
A study presented at the American Society of Echocardiography's annual scientific sessions found that Bay Labs' EchoMD AutoEF deep-learning algorithm calculated left ventricular ejection fraction (LVEF) with less variability (8.29%) than the average reported from cardiologists (9.2%). The software automatically selects high-quality clips from echocardiograms to provide LVEF calculations.
2018-06
AuntMinnie
Bay Labs: AI software less variable than doctors for EF
Bay Labs' EchoMD AutoEF deep-learning software demonstrated lower variability in evaluating left ventricular ejection fraction (EF) compared to cardiologists in a study with the Minneapolis Heart Institute. The study, presented at the ASE 2018 meeting, highlighted the software's accuracy and fully automated method for EF calculation without user intervention.
2018-06
AuntMinnie
Bay Labs wins FDA nod for AI echocardiography software
Bay Labs received U.S. FDA 510(k) clearance for its EchoMD AutoEF automated echocardiography analysis software, covering automated clip selection and left ventricular ejection fraction (EF) calculation. The software's deep-learning algorithms were trained on over 4 million images from 9,000 patients and can integrate into existing DICOM PACS environments.
2018-06
Northwestern Medicine News
Northwestern Medicine and Bay Labs Enroll First Patient in Study Using AI Software to Improve Heart Disease Detection
Northwestern Medicine and Bay Labs announced the enrollment of the first patient in a study evaluating Bay Labs' EchoGPS cardiac ultrasound guidance software and the EchoMD software suite, which includes AutoEF. The study aims to determine if certified medical assistants can acquire diagnostic-quality echocardiograms using AI guidance for earlier heart disease detection.
2018-11
MDPI (Journal)
Towards Clinical Application of Artificial Intelligence in Ultrasound Imaging
This peer-reviewed article discusses the progress of medical AI in ultrasound imaging, listing FDA-approved devices. It mentions EchoMD AutoEF software by Bay Labs, Inc. as an AI-powered medical device approved by the FDA in June 2018 for automated estimation of Left Ventricular Ejection Fraction (LVEF) on cardiac ultrasound images using machine learning.
2021-06
PMC (PubMed Central)
AI-Enabled Precision Echocardiography: Toward Personalized Cardiovascular Care
This review article highlights Bay Labs' EchoMD AutoEF as an AI-assisted tool providing automated quantification of Left Ventricular Ejection Fraction (LVEF). It notes that current FDA-cleared applications, including AutoEF, support the feasibility and clinical utility of AI in echocardiography.
2023-06
Videos
Product demos, reviews, and walkthroughs for EchoMD AutoEF.
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Frequently Asked Questions
EchoMD AutoEF is an AI-powered tool designed to automate the measurement of Ejection Fraction (EF) from echocardiograms. It integrates by analyzing your existing echo images, providing an automated EF calculation that can be reviewed and confirmed within your current PACS or EMR system, aiming to streamline the reporting process.
EchoMD AutoEF has demonstrated high accuracy in clinical studies, often comparable to or exceeding manual measurements, particularly in reducing inter-observer variability. It has undergone rigorous validation against expert readings and is designed to meet relevant regulatory standards for medical devices.
While highly accurate, EchoMD AutoEF may have limitations in cases with very poor image quality, unusual cardiac anatomies, or specific complex pathologies that might obscure standard ventricular views. Physicians should always review the AI-generated EF in conjunction with the full echocardiogram and clinical context.
EchoMD AutoEF is built with robust security protocols and operates in compliance with HIPAA and other data privacy regulations. It typically processes de-identified image data or integrates securely within your institution's protected network to ensure patient confidentiality.
Yes, there are other AI solutions emerging for EF measurement. EchoMD AutoEF differentiates itself through its specific algorithms, validation data, ease of integration, and potentially its performance metrics in various patient populations. It's important to compare features, accuracy, and workflow compatibility when considering alternatives.
The pricing model for EchoMD AutoEF typically involves a subscription or per-study fee, varying based on the volume and specific integration needs of your practice. The expected ROI comes from potential time savings in echo interpretation, increased departmental efficiency, and improved consistency in EF reporting.
EchoMD AutoEF usually comes with comprehensive technical support and training programs. This includes initial setup and integration assistance, user training for cardiologists and sonographers, and ongoing technical support to address any issues or questions that may arise during its use.
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| Last Verified: 2026-09-30 | First Added: 2026-09-30