LVivo Toolbox - Cardiac

DiA Imaging Analysis

LVivo AI Cardiac ultrasound analysis solutions provide objective cardiac ultrasound images analysis, aimed at mitigating the challenges of manually capturing and visually analyzing ultrasound images.
Product specifications Information source: Vendor
Last updated: Jan. 18, 2021
General
Product name LVivo Toolbox - Cardiac
Company DiA Imaging Analysis
Subspeciality Cardiac
Modality US
Disease targeted Cardiogenic shock, heart failure, chest pain, coronary events, pulmonary embolism, pulmonary hypertension
Key-features Ejection Fraction, Left Ventricle global and segmental strain, Left Ventricle segmental wall motion, Right Ventricle size and function
Suggested use During: perception aid (prompting all abnormalities/results/heatmaps), interactive decision support (shows abnormalities/results only on demand), report suggestion
Data characteristics
Population All Ultrasound Imaging
Input 2D Ultrasound
Input format DICOM
Output Border tracking and results, structured report
Output format DICOM Secondary capture
Technology
Integration Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform
Deployment Locally on dedicated hardware, Cloud-based
Trigger for analysis Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time < 3 sec
Certification
CE
Certified, Class IIa
FDA
510(k) cleared, Class II
Market presence
On market since First features since 2013
Distribution channels GE, Konica Minolta, IBM Watson Health AI marketplace, Terason, Edan, Esaote, Neusoft, Philips Healthcare
Countries present (clinical, non-research use) 20
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Based on
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance

  • Poster: Validation of an Artificial Intelligence Left Ventricular Ejection Fraction Quantification Software with Cardiac Magnetic Resonance Imaging in Consecutive Non-Selected Patients (read)

Other relevant papers