EchoMD Automated Ejection Fraction Software
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
EchoMD AutoEF can significantly reduce the time and variability associated with manual LVEF calculations, allowing physicians to focus more on patient context, prognosis, and management. It can empower clinicians, including those with less prior ultrasound experience, to obtain accurate evaluations of ventricular function and aid in the interpretation of echocardiograms with greater efficiency.
EchoMD AutoEF is designed for seamless integration into any DICOM PACS medical imaging environment, providing cardiologists with results as part of their routine diagnostic workflow. It is also part of the Caption AI platform, which can be linked with other deep ultrasound analytics platforms like Ultromics' EchoGo for advanced diagnostic capabilities.
Details
| Category | Cardiology AI, Radiology & Imaging AI |
| Pricing | Contact for pricing |
| Deployment | On-premise (via DICOM PACS integration) |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated Received 510(k) clearance (K173780) from the U.S. Food and Drug Administration (FDA) on June 19, 2018, for fully automated clip selection and calculation of left ventricular ejection fraction (EF). |
| Integrations | |
| EHR | Not specified |
| Specialties | Cardiology, Critical Care, Emergency Medicine, Radiology |
What the Web Says
EchoMD Automated Ejection Fraction Software, developed by Caption Health (formerly Bay Labs), is an AI-powered tool designed to automate the calculation of left ventricular ejection fraction (LVEF) from echocardiogram images. It aims to improve the efficiency and accuracy of cardiac function assessment by reducing variability and the need for manual intervention. The software has received FDA clearance and has been validated in studies demonstrating its ability to provide accurate EF calculations comparable to or with less variability than manual methods, even in challenging cases like obese patients or those with abnormal EF.
Overall: PositiveStrengths
- Reduces variability in LVEF measurements compared to manual methods.
- Fully automated clip selection and EF calculation, eliminating time-consuming manual processes.
- Accurate in a wide range of patients, including obese individuals and those with normal or abnormal EF.
- Integrates into existing DICOM PACS medical imaging environments for a seamless workflow.
- Allows physicians to focus on patient context and management rather than image manipulation.
- FDA cleared, indicating a level of safety and effectiveness for its intended use.
Limitations
- Some studies suggest that the median AI analysis time can be longer than operator-dependent manual methods.
- The output quality may depend on the input provided.
- Requires a stable internet connection for most tasks (for Caption Health's broader platform).
- Limited to web-only use (for Caption Health's broader platform).
- In some cases, automated EF software can produce erroneous readings that require manual correction.
- One study showed that AI-automated software reported LVEF in 61% of handheld scans, compared to an average of 76% for human core laboratory readers.
Based on reviews from: Caption Care (New Study Demonstrates Accuracy of Fully-Automated Ejection Fraction Calculation Using Bay Labs' EchoMD AutoEF Software), DAIC (EchoMD AutoEF Software Improves Variability in Ejection Fraction Estimation), Diagnostic Imaging (FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis), AI-assisted echocardiogram analysis improves reproducibility of LVEF measurements, Health Data Management (FDA clears AI technology that evaluates echocardiograms), accessdata.fda.gov (Bay Labs, Inc. Yarmela Pavlovic Partner Hogan Lovells US LLP 3 Embarcadero Center, Suite 1500 SAN FRANCISCO CA 94111 Re: K1), Kite AI Tools (Caption Health Review, Features & Pricing (2026)), SourceForge (Caption Health Reviews in 2026), FDA Clears Artificial Intelligence to Guide User for Optimal Cardiac Ultrasound Imaging, PMC (Reducing echocardiographic examination time through routine use of fully automated software: a comparative study of measurement and report creation time), Nanalyze (Caption Health Disrupts Medical Imaging with AI Ultrasound), Study underscores effectiveness of Caption Health's AI-guided ultrasound software, PMC (Artificial intelligence fully automated analysis of handheld echocardiography in realu2010world patients with suspected heart failure), MDPI (Single-Site Experience with an Automated Artificial Intelligence Application for Left Ventricular Ejection Fraction Measurement in Echocardiography), Diagnostic Imaging (FDA Clearance for Low Ejection Fraction (Low EF) AI), GE Healthcare (Caption AIu2122 AutoEF), CFR Journal - Cardiac Failure Review (The Role of Automated 3D Echocardiography for Left Ventricular Ejection Fraction Assessment), Reddit (Ejection fraction discrepancy between Cardiolite and echo. : r/Cardiology), Us2.ai: AI Echocardiography Reporting Software, FDA-Cleared, Reddit (Is there a way to determine your EF without a scan? : r/askCardiology), AUTOMATED AI ECHOCARDIOGRAPHY: AGREEMENT WITH EXPERTS AND WORKFLOW IMPACT ACROSS EF, GLS, AND VOLUMES, Eko Health (FDA Clearance for Low Ejection Fraction (Low EF) AI)
Last updated: 2026-07-17
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