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.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
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.
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.
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