Revolutionary
PRECISION
EFFICIENCY
SIMPLICITY
EchoConfidence is an advanced AI-driven 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.
KEY FEATURES
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All AI measurements are adjustable to maintain clinical oversight with human modification for critical assessments.
Over 100 validated cardiac measurements covering chambers, valves, vessels, and pericardium.
Improved precision from multi beat averaging. Mean Values and normal range displayed in scan."
Automated AI measurement of >98% of echo parameters.
Users can easily review, refine, and approve AI-generated measurements and contours.
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.
Does not learn from user data, ensuring patient privacy and data security.
Transparent decision-making process, allowing easy understanding of results.
Covers a significant percentage of British Society of Echocardiography (BSE) and American Society of Echocardiography (ASE) recommendations.
Training and Support: Focused service desk with comprehensive training onsite and remotely. Designed to support portability and use on tablet devices for easy access and mobility.
Compliant with international standards for information security management. CE Certification Pending: Currently under review for CE mark, ensuring adherence to European regulatory standards.
Mycardium is accessible to clients around the world, ensuring that our technology and support are available to healthcare professionals regardless of location.
EchoConfidence provides over 100 validated measurements, offering detailed assessments of the heart's structure and function.
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.
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?
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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
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
Our platform is built with strict adherence to data security standards, including ISO 27001 certification, ensuring the confidentiality and safety of all patient data. EchoConfidence is currently undergoing CE certification review, further demonstrating our commitment to meeting rigorous regulatory requirements for clinical use.
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