Us2.v1

Us2.ai

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

Us2.ai

Subspeciality

Cardiac

Modality

Ultrasound

Disease targeted

Heart disease, Pulmonary Hypertension

Main task

Not specified

Technical Specifications

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.

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, Etc., Image upload, On demand, Right after the image acquisition, Triggered by a user through e.g. a button click

Processing time

1 - 10 minutes

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

Market Presence

On market since

06-2022

AI Platforms

Aidoc, Blackford Analysis, Deepc, Incepto, Nuance, TeraRecon

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

Evidence & Research

Peer-Reviewed Papers

Peer-Reviewed

View

Concordance of left ventricular volumes and function measurements between two human readers, a fully automated AI algorithm, and the 3D heart model

Peer-Reviewed

View

Point-of-care AI-enhanced novice echocardiography for screening heart failure (PANES-HF)

Peer-Reviewed

View

Artificial intelligence‐assisted automated heart failure detection and classification from electronic health records

Peer-Reviewed

View

Nurse-led home-based detection of cardiac dysfunction by ultrasound: results of the CUMIN pilot study

Peer-Reviewed

View

External validation of a deep learning algorithm for automated echocardiographic strain measurements

Peer-Reviewed

View

A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram

Peer-Reviewed

View

Automated interpretation of systolic and diastolic function on the echocardiogram: a multicohort study