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Available for educational and administrative uses
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hardware
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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.

See our demo

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.

See our demo
Data about this feature.
EJECTION FRACTION
Prediction: 27
Play ButtonPause Button
num/num
DEMO 01

Automated Ejection Fraction

One of dozens of models in our AI, this model can predict abnormal left ventricular function more accurately than a human.

DEMO 02

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.

DEMO 03

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.

Data about this feature.
EJECTION FRACTION
Prediction: 27
Play ButtonPause Button
num/num
DEMO 01

Automated Ejection Fraction

One of dozens of models in our AI, this model can predict abnormal left ventricular function more accurately than a human.

DEMO 02

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.

DEMO 03

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.

Automated Reports

Interpret an entire echo with artificial intelligence.

AI may never replace doctors, but it will certainly replace doctors that act without it.

A cardiology follow up is recommended.
LV DIAST DIAM
(3.7-5.9)
4.4
LV POSTERIOR
(0.6-1.0)
1.0
AO ROOT
(2.0-3.8)
3.2
LV SYSTM DIAM
(2.5-5.0)
3.3
LV SEPTUM
(20.6-1.0)
1.0
PA PRESS
(<40)
0
Find us in your pacs

We're live!
Find iCardio.ai in UltraLinQ.

Find us directly in your favorite PACs. We're live in UltraLinQ, and available in several others.

"

"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."

Headshot of Professor Chaim Lotan

Professor Chaim Lotan MD
Director of the Heart Institute of Hadassah-Hebrew University

Our enterprise services.

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

Deploy existing algorithms

Partner with us to to leverage dozens of production models we have developed for automated measurement, disease detection, image quality assessment and more.

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.

Meet the team
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.

200M+ images

Leveraging a dataset of more than 200,000,000 individual echocardiographic images, iCardio.ai is building the gold standard of echocardiography.