Vendor source

Reviewed 12 Oct 2026

Completeness Comprehensive (81%)

Us2.v1

Us2.ai

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

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Key Features

  • All 4 chambers of the heart)
  • Automated measurements include 2-dimensional (cardiac volumes
  • Both pw and cw measurements) and tissue doppler
  • M-mode (e.g. tricuspid annular plane systolic excursion)
  • Spectral doppler (blood flow across all valves

General Information

Product name

Us2.v1

Company

Modality

Ultrasound

Main task

Not specified

Subspeciality

Cardiac

Disease targeted

Heart disease, Pulmonary Hypertension

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class IIb

Verified by Health AI Register

FDA Certification

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

Technical Specifications

Patient population age

Not specified

Input

Transthoracic echocardiography

Input format

DICOM

Output

Patient report, editable image annotations, comparison to international reference guidelines

Output format

CSV, DICOM SR, PDF

Integration

Integration CIS (Clinical Information System), Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone third party application, Stand-alone webbased

Deployment

Cloud-based, Hybrid solution, Locally on dedicated hardware, Locally virtualized (virtual machine, Docker)

Trigger for analysis

Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload

Processing time

1 - 10 minutes

Population

Vast majority of adult transthoracic echocardiograms. Not intended for reporting measurements associated with valve disease, pericardial disease, or right-sided hemodynamics (e.g. estimated pulmonary artery systolic pressure); intra-cardiac lesions (e.g. tumours, thrombi); and will not report measurements for complex adult congenital heart disease.

Market Presence

On market since

06-2022

AI Platforms

Resellers

Viz Platform

Countries present

USA, Canada, EU, Australia, New Zealand, Singapore

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Subscription

Based on

Number of analyses

Source: Vendor | First published: Jun 9, 2024 | Last updated: Oct 12, 2026