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: June 8, 2022

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
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 , MDD
FDA	510(k) cleared, Class II
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
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