iCardio.ai

About iCardio.ai

iCardio.ai develops artificial intelligence algorithms for the automated interpretation of echocardiograms, utilizing a proprietary dataset of over 200 million annotated ultrasound images. This technology addresses the challenges of human error and availability in echocardiographic analysis, providing accurate, real-time assessments to enhance patient care.

<problem> Echocardiogram interpretation is often subject to human error and variability due to dependence on clinician skill and availability. This can lead to inconsistencies in diagnosis and monitoring of heart conditions, potentially impacting patient care. </problem> <solution> iCardio.ai develops AI-powered solutions to automate and enhance echocardiogram analysis, addressing the limitations of manual interpretation. Leveraging a large dataset of over 200 million annotated ultrasound images, their algorithms provide accurate, real-time assessments of cardiac function and structure. The platform offers a comprehensive imaging workflow, including image perspective classification, quality assessment, and automated measurements. iCardio.ai's technology aims to improve the efficiency and consistency of echocardiography, enabling clinicians to make more informed decisions. Their solutions are designed for integration into existing PACS and hardware systems via a straightforward API. </solution> <features> - AI-driven automated interpretation of echocardiograms - FDA 510(k) clearance for EchoMeasure TM, with CardioVision TM pending FDA clearance - Algorithms for automated measurement of linear and volumetric parameters of the heart - AI models for detection of structural heart disease from ultrasound images - EchoCheck tool for tracking image quality, completeness, and perspective classification - EchoGPT tool for image-to-text description of ultrasound images - API for integration with PACS and ultrasound hardware systems - Access to a database of over 200 million annotated echocardiographic images for algorithm training and validation </features> <target_audience> iCardio.ai targets clinicians, hospitals, and imaging centers seeking to improve the accuracy and efficiency of echocardiogram interpretation, as well as ultrasound companies looking to integrate AI into their devices. </target_audience>

What does iCardio.ai do?

iCardio.ai develops artificial intelligence algorithms for the automated interpretation of echocardiograms, utilizing a proprietary dataset of over 200 million annotated ultrasound images. This technology addresses the challenges of human error and availability in echocardiographic analysis, providing accurate, real-time assessments to enhance patient care.

Where is iCardio.ai located?

iCardio.ai is based in Los Angeles, United States.

When was iCardio.ai founded?

iCardio.ai was founded in 2022.

How much funding has iCardio.ai raised?

iCardio.ai has raised 100000.

Who founded iCardio.ai?

iCardio.ai was founded by Nick Santora and Roman Sandler.

  • Nick Santora - Founder
  • Roman Sandler - Co-founder/CTO
Location
Los Angeles, United States
Founded
2022
Funding
100000
Employees
16 employees
Major Investors
Cedars-Sinai Accelerator
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iCardio.ai

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

iCardio.ai develops artificial intelligence algorithms for the automated interpretation of echocardiograms, utilizing a proprietary dataset of over 200 million annotated ultrasound images. This technology addresses the challenges of human error and availability in echocardiographic analysis, providing accurate, real-time assessments to enhance patient care.

icardio.ai2K+
cb
Crunchbase
Founded 2022Los Angeles, United States

Funding

$

Estimated Funding

$100K+

Major Investors

Cedars-Sinai Accelerator

Team (15+)

Nick Santora

Founder

Roman Sandler

Co-founder/CTO

Company Description

Problem

Echocardiogram interpretation is often subject to human error and variability due to dependence on clinician skill and availability. This can lead to inconsistencies in diagnosis and monitoring of heart conditions, potentially impacting patient care.

Solution

iCardio.ai develops AI-powered solutions to automate and enhance echocardiogram analysis, addressing the limitations of manual interpretation. Leveraging a large dataset of over 200 million annotated ultrasound images, their algorithms provide accurate, real-time assessments of cardiac function and structure. The platform offers a comprehensive imaging workflow, including image perspective classification, quality assessment, and automated measurements. iCardio.ai's technology aims to improve the efficiency and consistency of echocardiography, enabling clinicians to make more informed decisions. Their solutions are designed for integration into existing PACS and hardware systems via a straightforward API.

Features

AI-driven automated interpretation of echocardiograms

FDA 510(k) clearance for EchoMeasure TM, with CardioVision TM pending FDA clearance

Algorithms for automated measurement of linear and volumetric parameters of the heart

AI models for detection of structural heart disease from ultrasound images

EchoCheck tool for tracking image quality, completeness, and perspective classification

EchoGPT tool for image-to-text description of ultrasound images

API for integration with PACS and ultrasound hardware systems

Access to a database of over 200 million annotated echocardiographic images for algorithm training and validation

Target Audience

iCardio.ai targets clinicians, hospitals, and imaging centers seeking to improve the accuracy and efficiency of echocardiogram interpretation, as well as ultrasound companies looking to integrate AI into their devices.

iCardio.ai - Funding: $100K+ | StartupSeeker