Caption Interpretation Automated Ejection Fraction Software
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
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 |
| Deployment | Software integrated onto compatible ultrasound devices, personal computers, or DICOM-compliant PACS systems. |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Unknown 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: PositiveStrengths
- 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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