AI for echo has arrived.
We design machine learning algorithms for anything echo, leveraging a database of 200M+ individual images. Let's chat about implementing AI in your workflow.
Automated Ejection Fraction
One of dozens of models in our AI, this model can predict abnormal left ventricular function more accurately than a human.
Feature Extraction and Navigation
This tiny model gives real-time labels of features in the heart while the ultrasound is being performed. This model is designed to work on edge devices with limited computational capability and in sub-par imaging conditions. This model can predict the center of any feature within 4mm in real space.
LVOT and Aortic Diameters
Leveraging our database, we can develop hyper-accurate models to determine diameters of several features along the left ventricular outflow tract and parts of the aorta using a wide array of aortic samples, from normal to critical.
Interpret an entire echo with artificial intelligence.
AI may never replace doctors, but it will certainly replace doctors that act without it.
Production ready algorithms
Integrate AI into your echo with our machine learning solutions.
Choose from existing models or ask us to build a new one for you, we can solve any problem in echocardiography with Machine Learning
Deep Learning Models
High-performing deep learning.
Solve problems in your system using the right tool for the job. Our deep learning models are designed to analyze your data to provide the most accurate and solutions based feedback.
"Machine learning is a natural and elegant solution to make echocardiographic analysis more efficient and accurate and iCardio.ai has the talent behind it to bring the full analysis of echo to fruition."
Professor Chaim Lotan MD
Director of the Heart Institute of Hadassah-Hebrew University
Are you ready to leverage the power of AI and the iCardio.ai dataset?
Custom-tailored automated solutions
We can design any custom application for the interpretation of ultrasound imaging.
Data for clinical validation
We provide specialized datasets for verifying and validating clinical applications
Challenging the impossible, we are reimagining the limits of artificial intelligence in the application of echocardiography.
A universal issue
Heart disease is the leading cause of death in the United States, and nearly all cardiology patients undergo an echocardiogram test. These tests, however, are highly dependent on doctors' availability and are prone to false positives and negatives.
Meet the team
To combat this, through a callaboration of world-leading cardiologists and AI scientists, iCardio.ai endevours to create an AI to produce a comprehensive analysis of echocardiograms on an unprescendented scale.
Hundreds of thousands of participants
Leveraging a dataset of hundreds of thousands of de-identified patients, iCardio.ai is addressing problems only accessible through large-scale data exploration.