Caption Interpretation Automated Ejection Fraction Software

by Caption Health (acquired by GE HealthCare)  · Based in United States → — AI-powered ultrasound for early heart disease detection and accessible cardiac care.
Cardiology Emergency Medicine Radiology

Subscription-based pricing model for the software. an introductory price of $299 is mentioned for a heart health exam service provided through caption care.
Regulatory Status Disclosed

Overview

The Caption Interpretation Automated Ejection Fraction Software, a core component of the Caption AI platform, leverages advanced artificial intelligence and deep learning to automate the measurement of left ventricular ejection fraction (EF) from cardiac ultrasound images. This innovative software is designed to enable healthcare professionals, including those without extensive sonography experience, to acquire and interpret diagnostic-quality echocardiograms quickly and accurately at the point of care. It automatically selects optimal image clips, performs quality assurance, and calculates EF from multiple standard views (apical 4-chamber, apical 2-chamber, and parasternal long-axis), mimicking the visual estimation of an expert cardiologist. The technology aims to expand access to critical cardiac diagnostics, facilitate earlier disease detection, and support improved clinical decision-making.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated Ejection Fraction (EF) Calculation
  • Real-time AI Guidance for image acquisition (Caption Guidance)
  • Automated Image Quality Assessment
  • Supports multiple cardiac views (AP4, AP2, PLAX)
  • Deep learning algorithms for EF measurement
  • Enables use by healthcare professionals without prior ultrasound experience
  • Integration with compatible ultrasound devices and PACS systems
  • DICOM-compliant data processing
  • Predetermined Change Control Plan (PCCP) for regulatory updates
  • Automated selection of best image clips

Use Cases

  • Early detection and risk stratification of heart disease
  • Assessment of cardiac function (ejection fraction) at the point of care
  • Point-of-care ultrasound (POCUS) in emergency, critical care, and primary care settings
  • Screening for at-risk patients with conditions like hypertension or diabetes
  • Reducing preventable hospitalizations through earlier diagnosis
  • Supporting clinical decision-making with objective cardiac measurements

What Physicians Need to Know

Echocardiography AI Features
Caption AI offers two primary AI features: Caption Guidanceu2122 provides real-time, step-by-step visual guidance for probe movements to acquire diagnostic-quality standard echocardiographic views, emulating an expert sonographer. Caption Interpretationu2122 AutoEF automatically calculates Left Ventricular Ejection Fraction (LVEF) from one or a combination of Parasternal Long-Axis (PLAX), Apical 2-Chamber (AP2), and Apical 4-Chamber (AP4) views, using deep learning to analyze every pixel and frame for high accuracy.
Heart Failure Assessment
The Caption Interpretation AutoEF feature provides automated LVEF calculation, a key measurement in assessing cardiac function across various cardiovascular conditions, including heart failure. It also offers a qualitative assessment of global LV function (hyperdynamic, normal, reduced, severely reduced) with a confidence estimate. The tool aims to enable earlier detection of heart disease by making echocardiographic assessments more accessible.
Cardiac Monitoring Integration
Caption AI is integrated with GE HealthCare's Vscan Airu2122 SL wireless handheld ultrasound system and the Venue Family point-of-care ultrasound systems. It can process previously acquired transthoracic cardiac ultrasound images and forward results to a compatible DICOM-compliant PACS system. There is also a mentioned strategic partnership with Ultromics' EchoGou00ae platform and Butterfly Network's iQ+ platform for enhanced analysis and expanded access.
AHA/ACC Guideline Alignment
The Caption AI AutoEF software provides qualitative assessments of global LV function, mapped to categories based on American Society of Echocardiography (ASE) and American College of Emergency Physicians (ACEP) guidelines.
Real-Time Alert Capability
Caption Guidanceu2122 provides real-time, turn-by-turn on-screen guidance for probe movements to optimize image acquisition. A quality meter offers real-time feedback on image quality, and features like AutoCapture and Save Best Clip automatically save diagnostic-quality images or the best available clip.
Physician Tip

Leverage Caption AI's real-time guidance to standardize echocardiogram acquisition, especially for less experienced users, ensuring consistent diagnostic-quality images. Utilize the automated Ejection Fraction (AutoEF) calculation for rapid and accurate assessment of left ventricular function at the point of care, which can aid in timely decision-making for patients with suspected or known heart failure. Integrate the qualitative LV function assessment, aligned with ASE/ACEP guidelines, to quickly categorize patient status and inform further management. Remember that while AI assists in acquisition and initial interpretation, a comprehensive clinical evaluation remains paramount.

Caption AI is designed to integrate seamlessly with GE HealthCare's Vscan Air SL and Venue Family ultrasound systems. It supports DICOM-compliant PACS systems for image processing and result forwarding. Future integrations with platforms like Ultromics' EchoGo and Butterfly iQ+ aim to expand its diagnostic and analytical capabilities for heart failure and coronary artery disease.

Details

Category Cardiology AI, Radiology & Imaging AI
Pricing Subscription-based pricing model for the software. an introductory price of $299 is mentioned for a heart health exam service provided through caption care. — Introductory exam price: $299
DeploymentSoftware integrated onto compatible ultrasound devices, personal computers, or DICOM-compliant PACS systems.
Compliance
BAA Available Yes AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Caption Interpretation Automated Ejection Fraction Software received FDA 510(k) clearance in July 2020 and a De Novo classification in September 2022. It is indicated for use in adult patients to process previously acquired transthoracic cardiac ultrasound images to provide automated estimation of left ventricular ejection fraction.

Integrations
EHR Not specified
Specialties Cardiology, Emergency Medicine, Radiology

What the Web Says

Caption Interpretation Automated Ejection Fraction Software, part of the Caption AI platform by GE Healthcare, is an AI-powered tool designed to assist clinicians in obtaining quick, easy, and accurate measurements of cardiac ejection fraction (EF) at the point of care. It uses deep learning to automatically select the best ultrasound clips, perform quality assurance, and calculate EF from multiple views (apical 4-chamber, apical 2-chamber, and parasternal long-axis). The software has received FDA clearance and has been clinically validated to provide accurate EF measurements comparable to expert quantitative assessments.

Overall: Positive

Strengths

  • Provides AI guidance for cardiac ultrasound, enabling even untrained clinicians to capture diagnostic-quality images.
  • Offers quick, easy, and accurate measurements of cardiac ejection fraction (EF) at the point of care.
  • Automates repetitive tasks and streamlines healthcare workflows, enhancing team productivity.
  • Clinically validated with high agreement between nurse-captured scans and expert sonographer scans.
  • Can reliably estimate ejection fraction from various ultrasound views, including the parasternal long-axis view, which is often easier to acquire in critical care settings.
  • User-friendly interface that does not require deep technical knowledge.

Limitations

  • Requires a stable internet connection for most tasks.
  • Output quality can depend on the input provided.
  • Some users may find its editing features a bit limited compared to more comprehensive video editing solutions (referring to Caption AI as a general video editing tool, not specifically the medical software).
  • The pricing model is paid, with no persistent free tier, only a trial in most cases.
  • Currently limited to web-only use (referring to Caption AI as a general video editing tool).
  • Does not assess other parameters of LV function beyond EF.

Based on reviews from: Kite AI Tools, Quso.ai, PCMag, Reddit, Trustpilot, Capterra, DAIC, Nanalyze, App Store, Aionlinecourse, GE Healthcare, JAMA Cardiology, Circulation: Cardiovascular Imaging, MyStrategist, American Heart Association Journals

Last updated: 2026-07-18

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Press & Coverage

GE HealthCare
GE HealthCare Introduces Caption AI on Vscan Air SL Wireless Handheld Ultrasound System to Help More Clinicians Capture Diagnostic-Quality Cardiac Images
GE HealthCare launched Caption AI on its Vscan Air SL handheld ultrasound system, providing real-time guidance and automated ejection fraction estimation to help clinicians capture diagnostic-quality cardiac images at the point of care. This integration aims to expand access to cardiac care by empowering more medical professionals to confidently acquire images for rapid assessments.
2024-04
GE HealthCare
GE HealthCare Highlights New Solutions Including AI-enabled Innovations to Drive Precision Care at RSNA 2024
GE HealthCare showcased new solutions at RSNA 2024, including the Vscan Air SL handheld ultrasound system featuring Caption AI with Caption Interpretation AutoEF software, which automatically calculates left ventricular ejection fraction. This highlights the company's commitment to AI-enabled innovations for precision care.
2024-12
DeviceTalks
GE HealthCare's Samset on how deal led to building Caption AI for Vscan and securing FDA approval - DeviceTalks
An interview with Eigil Samset, PhD, General Manager for Cardiology Care at GE HealthCare, discusses the backstory of the 2023 Caption Health acquisition and the inspiration behind Caption AI for Vscan, emphasizing its role in democratizing cardiac assessments. The conversation also touches on regulatory challenges and the future of AI in cardiology.
2024-08
DAIC (Diagnostic and Interventional Cardiology)
GE HealthCare Adds AI-Driven, Real-Time Guidance to Ultrasound Systems
GE HealthCare introduced Caption Guidance, an AI-driven technology providing real-time guidance for capturing diagnostic-quality cardiac images, to its Venue Family point-of-care ultrasound systems. This integration follows the acquisition of Caption Health and aims to expand access to diagnostic care.
2023-10
GE HealthCare
GE HealthCare to Acquire Caption Health, Expanding Ultrasound to Support New Users Through FDA-Cleared, AI-Powered Image Guidance
GE HealthCare announced its agreement to acquire Caption Health, an AI healthcare leader specializing in clinical applications for early disease detection using AI-assisted ultrasound scans. This acquisition aims to make ultrasound examinations easier and faster, enabling a broader range of healthcare professionals to conduct basic echocardiogram exams.
2023-02
MedTech Dive
GE HealthCare agrees to buy AI imaging firm Caption Health in second acquisition
GE HealthCare agreed to acquire Caption Health, an AI imaging firm, to pair its ultrasound machines with Caption's applications for early disease detection. The acquisition aims to expand affordable access to ultrasound imaging for novice users and aligns with a broader shift to precision care.
2023-02
Indian Journal of Critical Care Medicine
There is No Substitute for Human Intelligence
This peer-reviewed article discusses the use of AI-guided software like Caption Guidance (Caption Health) in enabling novice users to conduct echocardiography scans. It highlights studies where nurses, after minimal training, successfully captured diagnostic-quality images, suggesting AI's potential to expand ultrasound access.
2021-05

Videos

Product demos, reviews, and walkthroughs for Caption Interpretation Automated Ejection Fraction Software.

View all on YouTube

Frequently Asked Questions

The software is typically designed for seamless integration with existing PACS and EMR systems, often through standard protocols like DICOM. It aims to streamline the EF measurement process, reducing manual steps and providing results directly within the patient's record for physician review.
Reputable AI software for medical diagnosis, like this, typically requires FDA clearance (e.g., De Novo or 510(k)) as a medical device. Regarding data privacy, it should adhere to strict HIPAA compliance standards, often employing de-identification techniques and secure data handling protocols to protect patient information.
While AI solutions aim for high accuracy and significantly improve efficiency by automating tedious tasks, it's crucial to compare their performance metrics (sensitivity, specificity) against manual methods and other validated AI tools. The primary benefit often lies in reducing inter-observer variability and speeding up reporting times.
Pricing models vary, often including subscription-based licenses per study, per user, or as an enterprise solution. The ROI can be realized through reduced physician time spent on manual measurements, increased throughput, and potentially improved billing accuracy due to standardized reporting.
While highly accurate, automated systems may have limitations in interpreting highly complex anatomies, poor image quality, or rare pathologies. Physicians must always critically review the AI's output, as the software is a decision-support tool and not a replacement for clinical judgment.

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