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LVivo Toolbox - Cardiac
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.
Information source:
Vendor
Last updated:
June 8, 2022
General Information
Technical Specifications
Regulatory
Market
Evidence
General Information
General
Product name
LVivo Toolbox - Cardiac
Company
DiA Imaging Analysis
Subspeciality
Cardiac
Modality
Ultrasound
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
Technical Specifications
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
Regulatory
Certification
CE
Certified, Class IIa
, MDD
FDA
510(k) cleared , Class II
Intended Use Statements
Intended use (according to CE)
Market
Market presence
On market since
2013
Distribution channels
GE, Konica Minolta, IBM Imaging AI Orchestrator, Terason, Edan, Esaote, Neusoft, Philips Healthcare, Circle CVI, Change Healthcare
Countries present (clinical, non-research use)
20
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model
Based on
Evidence
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)
Abstract: A novel artificial intelligence-based system provides global longitudinal strain automatically behind the scenes
(read)
Other relevant papers