iCardio.ai

by iCardio.ai  · Based in United States → — We are on a mission to automate Ultrasound with artificial intelligence. We partner with Ultrasound companies to deliver our technology to clinicians around the globe.
Cardiology Radiology

Regulatory Status Disclosed

Overview

iCardio.ai offers FDA-cleared AI software designed to automate and enhance echocardiographic interpretation. The platform provides solutions for automated measurements (EchoMeasure™), disease detection such as aortic stenosis (CardioVision™), and objective image quality assessment. It aims to assist clinicians, enterprises, and institutions by integrating AI into existing PACS and hardware systems.

Key functionalities include automated ejection fraction prediction, real-time feature extraction and navigation for edge devices, and precise measurement of LVOT and aortic diameters. iCardio.ai also offers tools like EchoCheck for tracking image quality and completeness, Quantitative tools for automated linear and volumetric measurements, Qualitative tools for structural heart disease detection, and EchoGPT for image-to-text ultrasound descriptions. The company leverages a vast database of over 200 million individual images to develop its machine learning algorithms.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Automated echocardiographic measurements (EchoMeasureu2122)
  • Automated detection of aortic stenosis (CardioVisionu2122)
  • Objective image quality assessment
  • Automated Ejection Fraction prediction
  • Real-time feature extraction and navigation for edge devices
  • LVOT and Aortic Diameters measurement
  • Automated echocardiogram reports
  • EchoCheck: Track image quality, echo completeness, and perspective classification
  • Quantitative tools for automated linear and volumetric measurements
  • EchoGPT: Image-to-text AI tool for ultrasound description

Use Cases

  • Automating echo reports for enterprises and PACS integration
  • Assisting clinicians in detecting structural heart disease like aortic stenosis
  • Helping institutions assess and improve image quality for IAC accreditation
  • Enhancing diagnostic accuracy and efficiency in echocardiography workflows
  • Enabling increased access to cardiac diagnostics, especially with handheld ultrasound (POCUS)
  • Providing data for clinical validation and custom AI model development

What Physicians Need to Know

Echocardiography AI Features
iCardio.ai specializes in automating echocardiogram analysis using machine learning and deep learning algorithms. Their platform, the 'Ultrasound Cardiography Brain,' utilizes over 60 machine learning algorithms to enhance the accuracy of cardiovascular diagnoses. Key features include automated measurements of cardiac structures (e.g., ventricular measurements, ejection fraction, aortic diameters), detection of structural heart diseases like aortic stenosis, and objective assessment of ultrasound image quality. The system can also label heart anatomical structures in real-time during ultrasound procedures. iCardio.ai's EchoMeasure™ product provides automated, comprehensive imaging workflow and preliminary reporting, and its CardioVision™ product is an FDA-cleared AI software for detecting aortic stenosis.
Heart Failure Risk Prediction
While iCardio.ai primarily focuses on echocardiography, AI models applied to ECGs have shown promise in estimating heart failure risk. A noise-adapted AI-ECG model estimated HF risk using lead I ECGs, suggesting a potential HF risk-stratification strategy. This AI-ECG model demonstrated good discrimination for new-onset HF. A positive AI-ECG screening result for left ventricular systolic dysfunction (LVSD) was associated with a 3- to 7-fold higher risk for HF.
Coronary Artery Assessment
iCardio.ai's primary focus is on echocardiography. However, AI tools are being developed that can predict heart failure using routine cardiac CT scans by identifying textural changes in the fat around the heart, which indicate inflammation. These changes are not visible to the human eye with routine medical imaging tests.
Cardiac Monitoring Integration
iCardio.ai is collaborating with Abbott to develop AI applications for Abbott's electrophysiology imaging product line, specifically for automating model creation on the EnSite X cardiac mapping system using 2D intracardiac echo (ICE) images. This aims to accelerate the integration of AI into tools used for treating cardiac arrhythmias like atrial fibrillation.
AHA/ACC Guideline Alignment
iCardio.ai's CardioVision™ for aortic stenosis received FDA 510(k) clearance. The company's EchoMeasure™ product also received FDA 510(k) clearance. CardioVision™ also earned FDA Breakthrough Device Designation. The clinical value of AI-driven tools depends on their accuracy and how their outputs integrate with clinicians' judgments. The ACC provides resources to support members in understanding and applying AI in healthcare.
Real-Time Alert Capability
iCardio.ai's technology includes real-time feature extraction and navigation, which provides real-time labels of features in the heart during an ultrasound. This model is designed to work on edge devices and in sub-par imaging conditions. The company's 'Ultrasound Cardiography Brain' platform uses over 60 machine learning algorithms to make cardiovascular diagnoses more accurate, and these multi-AI pipelines are designed to run in real-time.
Physician Tip

iCardio.ai's tools are designed to automate and standardize echocardiogram interpretation, potentially reducing variability and improving efficiency. The automated measurements and disease detection capabilities, particularly for aortic stenosis, can serve as a valuable diagnostic aid. The image quality assessment feature can help maintain laboratory accreditation standards. While the AI provides preliminary reports and analysis, the final interpretation and clinical decision-making remain with the qualified healthcare practitioner. The real-time anatomical labeling can be particularly helpful for less experienced sonographers or in challenging imaging conditions.

iCardio.ai's solutions are delivered via API and through partnerships with PACS and ultrasound hardware vendors. They have established collaborations with UltraLinQ, deepc, HeartLab, SARC MedIQ, GE Healthcare, and Butterfly Network. The company is also collaborating with Abbott to integrate AI into their electrophysiology imaging product line, specifically for the EnSite X cardiac mapping system. iCardio.ai's technology can be integrated directly into PACS networks or hardware devices. Their EchoMeasure™ output is intended for consumption by third-party software and hardware vendors.

Details

Category Cardiology AI, Radiology & Imaging AI
Pricing Unknown
DeploymentPACS, Hardware
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Cardiology, Radiology

What the Web Says

iCardio.ai is a Los Angeles-based company that develops AI-powered solutions for echocardiography analysis, aiming to automate measurements, detect conditions like aortic stenosis, and generate reports. Their technology is designed to integrate into existing clinical workflows and hardware, with products like EchoMeasure and CardioVision having received FDA 510(k) clearance and Breakthrough Device Designation. The company emphasizes its large proprietary dataset of over 200 million ultrasound images as a key differentiator.

Overall: Positive

Strengths

  • Automates echocardiography measurements and analysis, reducing manual effort and time for clinicians.
  • Aims to improve accuracy and consistency in cardiac measurements by reducing human error and inter-observer variability.
  • Integrates with existing cardiac imaging and reporting workflows, streamlining processes.
  • Has FDA 510(k) clearances for EchoMeasure and CardioVision, and Breakthrough Device Designation for CardioVision.
  • Leverages a large proprietary dataset of over 200 million ultrasound images for training its AI models.
  • Potential to enhance diagnostic accuracy and efficiency, leading to earlier diagnosis and improved patient outcomes.

Limitations

  • Physician confidence in their own interpretations can be a hurdle for AI adoption.
  • Limited public reviews from physicians, healthcare IT, or tech reviewers directly on platforms like G2, Capterra, or Reddit.
  • Adoption confidence in clinical AI is still developing gradually.

Based on reviews from: biotalent.com, saashub.com, medpath.com, producthunt.com, medstartr.ai, techbible.ai, tools.ai, medaxiom.com, nih.gov, icardio.ai, g2.com

Last updated: 2026-10-30

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Press & Coverage

covefund.com
iCardio.ai Closes $4.5M Strategic Financing Led by Cedars-Sinai
iCardio.ai secured $4.5 million in strategic financing led by Cedars-Sinai Technology Ventures to advance its AI-powered echocardiography solutions and gained extensive access to Cedars-Sinai's cardiac imaging dataset.
2026-04
icardio.ai
iCardio.ai Receives Second FDA 510(k) Clearance, CardioVision™ for Aortic Stenosis
iCardio.ai announced its second FDA 510(k) clearance for CardioVision™, an AI software designed for the automatic detection of aortic stenosis, a condition affecting 1.5 million Americans.
2025-11
icardio.ai
iCardio.ai Receives FDA 510(k) Clearance
iCardio.ai received FDA 510(k) clearance for its AI software for echocardiography interpretation, offering a comprehensive imaging workflow and autonomous preliminary reporting.
2024-10
prnewswire.com
iCardio.ai Partners with Major PACS UltraLinQ to Enhance Ultrasound Imaging Interpretation
iCardio.ai partnered with UltraLinQ, a PACS software provider, to integrate its AI-driven ultrasound interpretation tools with UltraLinQ's image viewer and reporting platform, aiming to improve quality, efficiency, and speed in ultrasound interpretation.
2024-01
icardio.ai
iCardio.ai Wins Prestigious Roddenberry Prize for AI Innovation in Healthcare
iCardio.ai was awarded the 2024 Roddenberry Prize for its pioneering use of AI to automate cardiac ultrasound interpretation, aiming to democratize access to quality care globally.
2025-03
icardio.ai
iCardio.ai Joins Cedars-Sinai Accelerator to Advance AI in Echocardiography
iCardio.ai joined the 10th cohort of the Cedars-Sinai Accelerator program, deepening its relationship with the medical center and gaining access to mentorship and resources to advance its AI solutions for heart disease detection.
2024-09
massdevice.com
iCardio.ai Partners with Abbott to Develop AI for Electrophysiology Imaging
iCardio.ai announced a collaboration with Abbott to develop AI applications for Abbott's electrophysiology imaging technologies, aiming to automate model creation on the EnSite X cardiac mapping system using intracardiac echo images.
2024-09
medicaldevice-network.com
iCardio.ai Partners with SARC MedIQ to Enhance Ultrasound Image Interpretation with AI
iCardio.ai partnered with SARC MedIQ to integrate its AI technology with SARC MedIQ's PACS, aiming to improve the efficiency, accuracy, and speed of ultrasound image interpretation for clinicians.
2024-09

Videos

Product demos, reviews, and walkthroughs for iCardio.ai.

View all on YouTube

Frequently Asked Questions

iCardio.ai is designed to integrate into existing ultrasound and PACS systems. It can be found in UltraLinQ and is available in several other systems. The technology can be directly integrated into PACS networks or hardware devices, aiming to streamline cardiac ultrasound review workflows.
iCardio.ai has received FDA 510(k) clearance for its artificial intelligence software for the interpretation of echocardiography, offering a comprehensive imaging workflow and autonomous preliminary reporting. Additionally, iCardio.ai CardioVision™ is an FDA-cleared AI software indicated as a diagnostic aid for detecting Aortic Stenosis and has received FDA Breakthrough Device Designation.
While AI in cardiology offers significant advancements, general limitations include potential diagnostic errors if training data is incomplete or biased, and the current inability of AI to fully integrate a patient's clinical factors for a holistic understanding. Over-reliance on AI could also risk the erosion of essential clinical skills. Specific limitations of iCardio.ai are not detailed, but generally, AI models require robust validation across diverse patient populations and image qualities.
The provided information does not specifically detail iCardio.ai's approach to data privacy and compliance. However, the use of AI in cardiology generally requires handling vast amounts of sensitive patient data, which raises concerns about data security and privacy. Companies in this space are expected to adhere to relevant healthcare data protection regulations.
iCardio.ai engages in revenue sharing with distributors, who then charge clinical providers. A tiered pricing base charge of $6,000-$15,000 per month is mentioned for providing POCUS and AI interpretation, along with a price per scan of at least $2-$4. After a trial period, pricing models can be determined based on study volume and value created.
While specific direct competitors for AI-powered echocardiogram analysis are not extensively detailed, the broader field of AI in cardiology includes tools for automating tasks, measurements, and risk stratification. Some general AI tools that are sometimes compared to iCardio.ai in the image recognition software category include Claude, Roboflow, and Google Cloud Vision API. Other AI platforms focus on cardiology device data management, such as Honey Health, Zoll, Paceart, iRhythm's Zio Suite, Eko, and HeartBeam.
iCardio.ai's CardioVision™ is specifically indicated as a diagnostic aid for the detection of Aortic Stenosis. Its EchoMeasure™ product automates numerous standard linear and volumetric measurements of the heart. The platform also aims to automate echocardiogram analysis to detect structural heart diseases, calculate ventricular measurements, determine ejection fraction, and assess image quality.

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More from iCardio.ai

CardioVision
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CardioVision by iCardio.ai is an FDA-cleared AI software that provides adjunctive diagnostic support for detecting moderate to severe aortic stenosis from echocardiogram images, streamlining cardiovascular diagnostics.
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View company profile →

Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18
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