Products/Healthcare AI / Medical Device / Cardiology AI/iCardio.ai

iCardio.ai

AI for echo has arrived

Healthcare AI / Medical Device / Cardiology AIaiultrasoundhealthcarediagnosticsReviewed

Our Take

iCardio.ai is bringing AI to echocardiogram analysis—because reading heart ultrasounds takes years of training and there's a massive shortage of trained sonographers. Their AI pulls data from echo reports and helps speed up interpretation, flag abnormalities, and standardize measurements across different machines and operators.

This is the quiet revolution happening in cardiology. While everyone's excited about ChatGPT clones, some teams are building AI that actually reads medical images and saves lives. Cardiac disease is the number one killer globally, and echocardiograms are the first-line screening tool—but they require specialized expertise that many hospitals simply don't have. iCardio.ai is solving that bottleneck.

Based in the AI healthtech space, they're currently looking for early pilot partners and cardiology practices to test the system. If you're a hospital or clinic dealing with echo volume overload, this is worth a look.

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Designs machine learning algorithms for echocardiography/ultrasound analysis. Provides automated echo measurements, aortic stenosis detection, image quality assessment, and comprehensive AI tools for echocardiographic interpretation.

Key Features

EchoMeasure™ - FDA 510(k) cleared automated echo measurements, CardioVision™ - FDA 510(k) cleared auto detection of aortic stenosis, EchoCheck - Track image quality, echo completeness, and perspective classification, Quantitative - Automated linear and volumetric measurements, Qualitative - Detect structural heart disease from image, EchoGPT - Image-to-text AI tool for describing ultrasound images, Automated Reports - AI interpretation of entire echo, Image Quality Assessment, Feature Extraction and Navigation (real-time, edge-capable), LVOT and Aortic Diameter measurements

Problem It Solves

Makes echocardiographic analysis more efficient and accurate by automating measurements, detecting structural heart disease, and assessing image quality - reducing human error and improving workflow efficiency in cardiology.

Target Customer

Clinicians, Healthcare Enterprises (PACS and Hardware companies), Institutions/Hospitals, Ultrasound companies

Use Cases

Automated ejection fraction prediction, Aortic stenosis detection, Diastolic/systolic phase identification, Image quality scoring for IAC accreditation, Feature center prediction within 4mm, LVOT and aortic diameter measurement, Full automated echo reporting, Real-time ultrasound labeling

Differentiator

FDA 510(k) cleared for both EchoMeasure and CardioVision; database of 200M+ individual images; partnerships with major healthcare companies including GE Healthcare, Abbott, and Viz.ai

Why Now

Recent FDA 510(k) clearances obtained (November 2025 for CardioVision, October 2024 for AI interpretation); FDA Breakthrough Device Designation received

Traction

Customers Mentioned: UltraLinQ, GE Healthcare, Abbott, Viz.ai, deepc, Cedars-Sinai Accelerator, Butterfly Network, SARC MedIQ PACS · Notable Metrics: Database of 200M+ individual images · Press Mentions: FDA 510(k) Clearance for CardioVision (November 2025), FDA Breakthrough Device Designation for CardioVision, iCardio.ai Wins $1M Roddenberry Foundation Grand Prize, iCardio.ai Joins Cedars-Sinai Accelerator, Abbott and iCardio.ai Collaboration, NVIDIA and iCardio.ai Team Up, GE Healthcare Collaboration, Partnership with UltraLinQ, Partnership with Viz.ai, Partnership with deepc, Partnership with Butterfly Network · Awards: FDA 510(k) Clearance - CardioVision for Aortic Stenosis (November 2025), FDA 510(k) Clearance - Artificial Intelligence for Echocardiography (October 2024), FDA Breakthrough Device Designation for CardioVision, $1M Roddenberry Foundation Grand Prize (March 2025)

Key Facts

The people behind iCardio.ai

Joseph Sokol

profile

Maker

Links

Website Source: product-hunt

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