Revolutionary Echo Confidence


PRECISION

EFFICIENCY

SIMPLICITY

Echo Confidence Video 01

ACCURATE AND FAST
MULTIPLE MEASUREMENTS
HUMAN IN THE LOOP






Cutting Edge Echo Confidence

Cutting-Edge Echocardiography AI Software

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.


  • Faster Workflows
  • Improved Precision
  • Intuitive Platform
  • Fully-automated
  • Vendor Neutral
  • By Doctors, for Doctors


Cutting Edge Echo Confidence

Automated AI measurement of >98% of echo parameters



DEMO

Comprehensive Cardiac Analysis

EchoConfidence provides over 100 validated measurements, offering detailed assessments of the heart's structure and function.

“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

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.






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Echo Confidence

“Achieve Precision with Unmatched Efficiency and Simplicity."



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Whitepapers



Using Artificial Intelligence Developed and Validated by a UK-Wide Collaborative

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

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

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

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



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Our software is for demonstration purposes only, still awaiting CE and FDA approval.



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