Vendor source
Reviewed 12 Oct 2026
Completeness Comprehensive (81%)
Us2.ai supports cardiovascular disease diagnostics by providing machine learning based solutions that analyze and interpret echocardiograms, which are ultrasound images of the heart, creating patient reports, at scale, on mobile, on premises and cloud-based platforms.
Supported by 14 papers



General Information
Product name
Company
Modality
Main task
Not specified
Subspeciality
Disease targeted
Regulatory Information
Pathway:
MDR
Class:
Class IIb
Verified by Health AI Register
Pathway:
510(k) cleared
Class:
Class II
Verified by Health AI Register
Other certifications
Not specified
Evidence & Research
Peer-Reviewed Papers
Artificial Intelligence Echocardiographic Interpretation in the Emergency Department: Agreement, Interpretation Yield and Reporting Scope
Emergency Medicine Australasia · Oct 2026
Automated echocardiographic measurements for longitudinal monitoring of ATTR cardiomyopathy: agreement and repeatability analysis
The International Journal of Cardiovascular Imaging · Sep 2026
Automated analysis of echocardiographic images: do different artificial intelligence tools provide concordant measurements?
The International Journal of Cardiovascular Imaging · Jan 2026
Artificial intelligence‐based echocardiographic assessment for monitoring disease progression in transthyretin cardiac amyloidosis
European Journal of Heart Failure · Oct 2025
Artificial Intelligence-Based Echocardiography in Pulmonary Arterial Hypertension
CHEST · Aug 2025
Integrating artificial intelligence into an echocardiography department: Feasibility and comparative study of automated versus human measurements in a high-volume clinical setting
Archives of Cardiovascular Diseases · Apr 2025
Artificial intelligence-based echocardiography assessment to detect pulmonary hypertension
ERJ Open Research · Nov 2024
Concordance of left ventricular volumes and function measurements between two human readers, a fully automated AI algorithm, and the 3D heart model
Frontiers in Cardiovascular Medicine · Jul 2024
Point-of-care AI-enhanced novice echocardiography for screening heart failure (PANES-HF)
Scientific Reports · Jun 2024
Artificial intelligence‐assisted automated heart failure detection and classification from electronic health records
ESC Heart Failure · May 2024
Nurse-led home-based detection of cardiac dysfunction by ultrasound: results of the CUMIN pilot study
European Heart Journal - Digital Health · Dec 2023
External validation of a deep learning algorithm for automated echocardiographic strain measurements
European Heart Journal - Digital Health · Nov 2023
A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram
Nature Communications · Nov 2022
Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study
The Lancet Digital Health · Dec 2021
Other Articles
AHA24 presentation: Artificial Intelligence-Based Automated Echocardiographic Measurements and the Workflow of Sonographers: Randomized Crossover Trial (AI-ECHO RCT)
OPERA-AI: Artificial Intelligence Reporting of Handheld Echocardiography in Suspected Heart Failure
Democratizing Echocardiography with Augmented Intelligence
Technical Specifications
Patient population age
Not specified
Input
Input format
Output
Output format
Integration
Deployment
Trigger for analysis
Processing time
Population
Market Presence
Pricing Information
Pricing model
Based on
Source: Vendor | First published: Jun 9, 2024 | Last updated: Oct 12, 2026