Cutting-Edge Echocardiography AI Software
EchoConfidence is an advanced AI-driven, FDA 510 (k) cleared, echocardiography solution, developed to provide highly accurate, automated measurements for cardiac imaging. Utilizing fixed Convolutional Neural Networks (CNN) trained on over 100,000 images, EchoConfidence offers over 100 validated measurements, ensuring comprehensive assessments of cardiac structures such as the chambers, valves, vessels, and pericardium.
Echocardiography Demands
Echocardiography demand is rising faster than workforce capacity. Scans are becoming more complex, yet clinicians face pressures of limited staffing, increasing demand for direct access echo, and the need to track disease progression or treatment response through serial scans. At the same time, hospitals and core labs must achieve standardisation across operators and sites to ensure reproducible, clinically reliable results.
The EchoConfidence Advantage
EchoConfidence transforms echocardiography with AI-driven automation, delivering results that are precise, efficient, and clinically meaningful.
- Faster Workflows
- Improved Precision
- Intuitive Platform
- Fully-automated
- Vendor Neutral
- By Clinicians, for Clinicians
Increased Efficiency
Accelerate workflows with automated analysis and batch processing.
Intuitive Platform
Designed by clinicians for clinicians, with a user friendly interface that keeps you in control.
Batch Analysis
Streamline large datasets for core lab use and research efficiency
Improved Precision
Validated AI algorithms provide consistent, reproducible measurements across over 100 cardiac parameters.
Personalised Insights
Results are automatically presented with reference to pertsonalised normal ranges, enabling clearer clinical decision-making.
Serial Scan Comparison
Unique tools for measurement and visualisation of changes over time support longitudinal patient management and clinical trials.
Standardisation at Scale
AI ensures consistency across operators, departments, and trial sites.
Comprehensive Cardiac Analysis
EchoConfidence provides over 100 validated measurements, offering detailed assessments of the heart's structure and function.
KEY FEATURES
Roll-over the captions below for further information
Adjustable Measurements
Adjustable Measurements
All AI measurements are adjustable to maintain clinical oversight with human modification for critical assessments.
Extensive Automated Validation
Extensive Automated Validation
Over 100 validated cardiac measurements covering chambers, valves, vessels, and pericardium.
Multi Beat Averaging
Multi Beat Averaging
Improved precision from multi beat averaging. Mean Values and normal range displayed in scan."
High Accuracy
High Accuracy
Automated AI measurement of >98% of echo parameters.
Human-in-the-Loop
Human-in-the-Loop
Users can easily review, refine, and approve AI-generated measurements and contours.
Flexible Compatibility
Flexible Compatibility
Our AI software integrates with existing hospital systems (e.g., PACS, EHR) and works with various imaging devices (any transducers, tablets), in any disease, across a wide range of clinical settings.
Privacy-Focused
Privacy-Focused
Does not learn from user data, ensuring patient privacy and data security.
Explainable AI
Explainable AI
Transparent decision-making process, allowing easy understanding of results.
Developed by Clinicians for Clinicians
Developed by Clinicians for Clinicians
Mycardium is accessible to clients around the world, ensuring that our technology and support are available to healthcare professionals regardless of location.
“Seamless Integration”
EchoConfidence is engineered for flexibility, making it compatible with any transducer in any clinical setting, across a wide range of diseases. Whether you're working with standard imaging equipment or tablet-based devices, EchoConfidence integrates seamlessly to provide immediate, actionable insights.
CLINICAL LEAD
PROFESSOR CHARLOTTE MANISTY
A cardiologist at University College London (UCL) and Barts Heart Centre, has authored numerous studies focusing on cardiac imaging, including echocardiography, particularly in the context of cardio-oncology. Her research often explores optimizing imaging techniques using computational methods to detect cardiotoxicity and other heart conditions caused by chemotherapy.
Some of her notable contributions include the investigation of advanced imaging for heart failure and cardiovascular disease, and the integration of AI techniques in echocardiography to enhance diagnostic accuracy. She has also extensively studied the impact of chemotherapy on heart function, aiming to identify early markers of cardiovascular damage through echocardiography and cardiac MRI.
You can find more about her work and publications on her UCL profile or the European Society of Cardiology (ESC) website.
Why Choose EchoConfidence?
Trusted | Compliant | Ready for Practice
TRUSTED ACCURACY
TRUSTED ACCURACY
Designed to meet the needs of hospitals and clinical settings, EchoConfidence offers over 95% accuracy across 23 automatic view classifications. With a human-in-the-loop interface, users can efficiently review, refine, and approve measurements, contours, and fiducial points, providing a balance of automation and expert oversight that supports high diagnostic confidence.
FLEXIBLE & VERSATILE
FLEXIBLE & VERSATILE
EchoConfidence is engineered for flexibility, making it compatible with any transducer in any clinical setting, across a wide range of diseases. Whether you're working with standard imaging equipment or tablet-based devices, EchoConfidence integrates seamlessly to provide immediate, actionable insights.
SECURE AND COMPLIANT
SECURE AND COMPLIANT
Our platform is built with strict adherence to data security standards, ensuring the confidentiality and safety of all patient data. EchoConfidence has received FDA 510 (k) clearance and is CE Class llb marked, further demonstrating our commitment to meeting rigorous regulatory requirements for clinical use.
- FDA 510 (k) cleared
- Clinically validated on over 100,000 echo images.
- CE Class IIb marked and compliant with ASE/BSE standards.
- Fully vendor-neutral, with seamless PACS/EHR integration.
- Developed and validated by leading clinicians in cardiovascular imaging.
Book a Demo
Whitepapers
Using Artificial Intelligence Developed and Validated by a UK-Wide Collaborative
Experts at multiple institutions successfully cooperated to build a collaborative AI. This performed as well as individual experts. Future echocardiographic AI research should use a consensus of experts as a reference. Contributions from Darrel P. Francis , MD Matthew J. Shun-Shin, PhD, Catherine C. Stowell , MSc.
Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis
A randomized study comparing AI-based assessments to expert sonographers found AI to be non-inferior and faster. This research underscores AI’s potential in echocardiography for increasing efficiency without sacrificing accuracy.
Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography
In this paper we first assess the relative performance of several classical convolutional neural network (CNN) architectures. We then introduce some new architectures, inspired by current work in the field of human action recognition, which can process both the spatial and temporal information
The Role of Artificial Intelligence in Echocardiography: A Clinical Update
AI in echocardiography is a powerful and ever-growing tool with the potential for revolutionary effects on the practice of cardiology. In this review article, we explore the growth of AI and its applications in echocardiography, along with clinical implications and the associated regulatory, legal, and ethical considerations
Contact
E: info@mycardium.com
T: +44 (0)151 230 2116
The Spine Building, 2 Paddington Village, Liverpool Merseyside, England, L7 3FA
Further Contact Options >
