Products

EchoMeasure
iCardio.ai
Cardiology AI
EchoMeasure by iCardio.ai is an FDA-cleared AI software that automates the analysis of cardiac ultrasound images, providing automated measurements, view classification, and preliminary reporting to enhance diagnostic accuracy and efficiency for cardiologists and sonographers.
CardioVision
Icardio.Ai
Cardiology AI
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.
iCardio.ai
iCardio.ai
Cardiology AI
iCardio.ai provides FDA-cleared AI software for automated echocardiographic interpretation, offering automated measurements, disease detection (e.g., aortic stenosis), and image quality assessment to streamline cardiac diagnostics.

See all 3 products →

About iCardio.ai

iCardio.ai is a Los Angeles-based healthcare AI company dedicated to revolutionizing cardiac diagnostics through advanced machine learning and deep learning algorithms applied to ultrasound imaging, specifically echocardiography. The company’s core mission is to automate the entire echocardiogram workflow, from image acquisition to comprehensive diagnosis, thereby enhancing diagnostic accuracy, consistency, and efficiency for clinicians. Their proprietary AI models, trained on an extensive database of over 200 million ultrasound images, perform segmentation, classification, and regression analysis to interpret echocardiograms with high precision.

Key offerings include EchoMeasure™, which has received U.S. FDA 510(k) clearance, providing an automated, comprehensive imaging workflow and preliminary reporting tool for various cardiac measurements. Additionally, their CardioVision™ AI, an aortic stenosis detection tool, has earned FDA Breakthrough Device Designation, addressing critical unmet needs in identifying this severe valvular heart disease. iCardio.ai’s technology aims to streamline clinical workflows, reduce inter-operator variability, and enable earlier, more confident diagnostic decisions, ultimately leading to improved patient outcomes in conditions such as valvular heart disease, heart failure, and coronary artery disease.

The company actively collaborates with leading ultrasound hardware and software providers, including GE Healthcare, Butterfly Network, UltraLinQ, and SARC MedIQ, to integrate its AI solutions into existing platforms and expand accessibility globally. Future plans include enhancing intracardiac echocardiography capabilities and developing EchoGPT, an AI-powered tool for autonomous generation of complete echocardiography reports.

Focus Areas

Machine learning for ultrasound Deep learning for echocardiography Automated echocardiogram interpretation Aortic stenosis detection Cardiac measurement automation Image quality assessment Structural heart disease detection Point-of-care ultrasound (POCUS) AI

Business Intelligence

Key InvestorsHeartX, MedAxiom, HealthTech Arkansas, BSD Enterprises, Jerusalem Venture Partners, The Roddenberry Foundation, Cove Fund, CONNECT, Techstars
PartnershipsGE Healthcare, UltraLinQ, SARC MedIQ, Abbott, Butterfly Network, Viz.ai, Clarius, deepc, Arkansas Heart Hospital, Conway Regional
TechnologyMachine learning and deep learning algorithms, Proprietary database of over 200 million ultrasound images, AI processing pipelines, NVIDIA Clara Holoscan (for real-time processing at the edge), API for integration
FDA Clearances2 cleared products (estimated)

What Physicians Need to Know

Machine Learning & Deep Learning for Ultrasound
iCardio.ai specializes in advancing machine learning and deep learning algorithms specifically for ultrasound analysis, with a strong focus on transthoracic echocardiography. They leverage a proprietary database of over 200 million ultrasound images, which is considered one of the largest privately-owned ultrasound databases globally.
Automated Echocardiogram Interpretation
Their flagship product, EchoMeasureu2122, provides an automated, comprehensive imaging workflow and preliminary reporting tool, capable of automating over 60 core echocardiographic measurements. They are also developing EchoGPT, an AI-powered tool designed to autonomously generate complete echocardiography reports.
Aortic Stenosis Detection
CardioVisionu2122 is an AI-based tool for aortic stenosis detection, which has received FDA Breakthrough Device Designation and 510(k) clearance. This technology can predict aortic stenosis from a single ultrasound clip, aiding in earlier and more accurate diagnosis.
Cardiac Measurement Automation
EchoMeasureu2122 automates numerous standard linear and volumetric measurements of the heart, including various dimensions of the left and right ventricles, atria, and aortic apparatus, reducing manual effort and variability.
Image Quality Assessment
The AI models developed by iCardio.ai include capabilities for assessing the quality of ultrasound images, providing an objective score, and detecting anatomical components to ensure reliable upstream AI predictions.
Structural Heart Disease Detection
Beyond aortic stenosis with CardioVisionu2122, iCardio.ai is expanding its AI portfolio to include the detection of other structural heart diseases, such as mitral and tricuspid regurgitation.
Point-of-Care Ultrasound (POCUS) AI
The design of their AI solutions, particularly CardioVisionu2122 for aortic stenosis screening, makes them viable for integration into handheld ultrasound devices and use in upstream, point-of-care settings.
Physician Tip

iCardio.ai's solutions are designed to significantly enhance diagnostic accuracy and efficiency, allowing for earlier detection of critical conditions like severe aortic stenosis. By automating over 60 echocardiographic measurements and providing preliminary reports, their technology streamlines workflows, reduces sonographer fatigue, and minimizes diagnostic variability. Physicians can expect more confident decision-making, improved patient outcomes, and more time for direct patient interaction. The AI also offers objective image quality assessment and is built for seamless integration into existing PACS and DICOM workflows, ensuring a smooth transition into clinical practice.

iCardio.ai emphasizes seamless integration with existing medical imaging workflows, including PACS, DICOM viewers, and imaging worklists, through a simple and straightforward API. They have established key partnerships with major healthcare organizations and ultrasound vendors such as GE Healthcare, Abbott, UltraLinQ, SARC MedIQ, deepc, and Viz.ai, to integrate their technology into various platforms and broaden accessibility.

Products by iCardio.ai

3 products in the directory

EchoMeasure
iCardio.ai
Cardiology AI
EchoMeasure by iCardio.ai is an FDA-cleared AI software that automates the analysis of cardiac ultrasound images, providing automated measurements, view classification, and preliminary reporting to enhance diagnostic accuracy and efficiency for cardiologists and sonographers.
CardioVision
Icardio.Ai
Cardiology AI
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.
iCardio.ai
iCardio.ai
Cardiology AI
iCardio.ai provides FDA-cleared AI software for automated echocardiographic interpretation, offering automated measurements, disease detection (e.g., aortic stenosis), and image quality assessment to streamline cardiac diagnostics.

What the Web Says

iCardio.ai is a Los Angeles-based company specializing in AI and deep learning algorithms for ultrasound analysis, particularly in transthoracic echocardiography. They aim to automate echocardiography measurements, detect conditions like aortic stenosis, and generate faster, more accurate reports using FDA-cleared AI tools. The company leverages a proprietary database of over 200 million ultrasound images to enhance diagnostic accuracy and efficiency.

Overall: Positive

Strengths

  • Automated echocardiography measurements and reporting, leading to increased efficiency and speed.
  • Improved diagnostic accuracy and consistency for cardiac conditions like aortic stenosis.
  • FDA 510(k) clearance for EchoMeasureu2122 and FDA Breakthrough Device Designation for CardioVisionu2122 (aortic stenosis detection tool).
  • Seamless integration with existing medical imaging systems and platforms through a straightforward API.
  • Partnerships with major healthcare organizations like GE Healthcare, UltraLinQ, and SARC MedIQ, broadening accessibility.
  • Positive employer reviews on Indeed.com, highlighting a great place to learn new skills and work independently.

Limitations

  • Limited public product reviews available on major platforms like G2, Capterra, and Product Hunt.
  • G2 lists iCardio.ai alternatives, suggesting potential competition or areas for improvement in reliability and ease of use compared to top-rated tools.
  • Reddit discussions on AI in echocardiography raise general concerns about accuracy, training, trust in technology, and the potential impact on the role of echocardiographers.
  • One Indeed review for 'Icario' (a different company, but a similar name) mentions last-minute requirement changes and leadership issues, which could be a point of confusion for job seekers.
  • Some Reddit users express skepticism or negative experiences with cardiologists and the adoption of new technologies in general, which could indirectly affect perception of AI solutions.

Based on reviews from: iCardio.ai, Top 10 Icardio.AI Alternatives & Competitors in 2026 - G2, iCardio.ai: AI ultrasound analysis for echo reports - Product Hunt, HeartX Success Story: iCardio.ai - MedAxiom, AI-driven tools into echocardiography practice : r/cardiacsonography - Reddit, iCardio Careers and Employment | Indeed.com, Viz.ai and iCardio.ai Partner on Aortic Stenosis Detection Using Ultrasound Imaging and Artificial Intelligence, AI proved superior in assessing and diagnosing cardiac function when compared with echocardiogram assessments made by sonographers : r/science - Reddit, Sonographer at iCardio | Indeed.com, AI-Driven Computer Vision Transforms Echocardiogram Analysis for Icardio.AI, Enhancing Precision and Speed - GenAI Labs, New AI models can accurately diagnose complex heart conditions without a cardiologist, providing vital support in underserved areas. : r/ArtificialInteligence - Reddit, I tried all the AI medical scribes so you don't have to - my honest review - Reddit, Cardiology-Cloud Software Pricing, Alternatives & More 2026 | Capterra, Best AI Medical Diagnostic Platforms: User Reviews from July 2026 - G2, Best AI Patient Engagement & Operations Software: User Reviews from July 2026 - G2, Page 2 | Best Cardiology EMR Software 2026 - Capterra, Best Medical Coding Software: User Reviews from July 2026 - G2, Cardio app went exactly as expected. How disappointing : r/POTS - Reddit, iCare Reviews 2026. Verified Reviews, Pros & Cons | Capterra, iCare Software Pricing, Alternatives & More 2026 | Capterra, Working at Icario: Employee Reviews | Indeed.com, Best Speech Analytics Software: User Reviews from July 2026 - G2, Working at Chicago Cardiology Institute: 50 Reviews | Indeed.com

Last updated: 2026-07-18

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Frequently Asked Questions

iCardio.ai offers EchoMeasureu2122, an FDA 510(k) cleared product that automates over 60 cardiac measurements, view classification, and quality checks for comprehensive preliminary reporting. They also provide CardioVisionu2122, which holds both FDA Breakthrough Device Designation and FDA 510(k) clearance, specifically designed for the automated detection of moderate to severe aortic stenosis from a single ultrasound clip.
iCardio.ai's AI-powered solutions, such as CardioVisionu2122, are designed to serve as diagnostic aids in POCUS settings, including with handheld ultrasound devices, by non-specialists, thereby expanding access to cardiac diagnostics. Their technology also includes features like EchoCheck to objectively assess and track image quality, helping to reduce operator dependency and improve consistency in diverse clinical environments.
iCardio.ai utilizes deep learning algorithms, trained on a proprietary database of over 200 million ultrasound images, to detect structural heart disease. Their FDA-cleared CardioVisionu2122 product specifically employs deep learning to predict aortic stenosis without explicit variable measurement, relying on image analysis from a single parasternal long axis clip. This approach aims to enhance diagnostic precision and efficiency.
iCardio.ai has established key partnerships with major healthcare technology companies, including a multi-year collaboration with GE Healthcare to integrate its technology into GE ultrasound platforms. They also partner with PACS providers like UltraLinQ and SARC MedIQ, and device manufacturers such as Abbott and Butterfly Network, to broaden the accessibility and utility of their AI-driven echocardiography solutions globally.
While specific details can vary, iCardio.ai's business model for AI-powered POCUS and interpretation services reportedly includes a tiered base charge, ranging from $6,000 to $15,000 per month. Additionally, there may be a per-scan fee, typically between $2 and $4, for each echocardiogram interpreted.
iCardio.ai, founded in 2018/2019, has secured strategic funding rounds, including investment from Techstars and a $1 million Roddenberry Foundation Grand Prize, indicating strong investor confidence. The company plans to broaden its AI portfolio by enhancing intracardiac echocardiography capabilities and launching EchoGPT, an AI tool for autonomously generating complete echocardiography reports.
iCardio.ai trains its machine learning and deep learning algorithms on a vast proprietary database of over 200 million ultrasound images, ensuring robust performance across diverse image qualities. Their products, like EchoMeasureu2122 and CardioVisionu2122, have undergone rigorous clinical studies and received FDA 510(k) clearances and Breakthrough Device Designation, validating their accuracy and reliability for clinical use.

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