Medscape Medical NewsAll articles

LVivo Software Application

DiA Imaging Analysis Ltd. • Radiology • 10/04/2024

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The LVivo Software Application is a Class II medical device designed for the non-invasive, automated processing of ultrasound images to detect and measure medical parameters for diagnostic purposes. Its methodology involves digital image analysis and providing Quality Score feedback, with its efficacy and safety confirmed through performance evaluations and clinical validation, securing regulatory market authorization.

Summary

The LVivo Software Application, developed by DiA Imaging Analysis Ltd., has received marketing authorization as a Class II medical device. This application is designed for the non-invasive digital processing of ultrasound images to enable the automated detection, measurement, and calculation of various medical parameters related to anatomical structures and physiological functions in patients with suspected disease. A key feature includes the provision of Quality Score feedback to enhance the reliability of these analyses. The regulatory determination found the LVivo application, including its new LVivo PLAX module, to be substantially equivalent to existing medical devices, introducing no new safety or efficacy concerns. This conclusion was substantiated through rigorous performance evaluations and clinical validation studies, demonstrating the software's conformity to its intended use. Its continued availability in the market is contingent upon adherence to standard regulatory requirements such as annual registration, device listing, good manufacturing practices, and specific labeling guidelines.

AI Regulatory Concerns

Powered byJev by TypeSafe AI

Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

LVivo Software ApplicationDiA Imaging AnalysisUltrasound imagesMedical parametersNon-invasive processingQuality ScoreClinical validationMedical deviceClass IIRegulatory approval

Device Metadata

Submission Number
K240553
Company
DiA Imaging Analysis Ltd.
Panel
Radiology
Product Code
N/A
Data Type
N/A
Clinical Function
N/A
AI Function
N/A
AI Subclass
N/A

Relevant Clinical Questions

  • Q1. What specific medical parameters does the LVivo Software Application detect, measure, and calculate, and for which structures and functions in patients with suspected disease?; How is the 'Quality Score feedback' generated, what metrics does it use, and what impact does it have on the reliability or interpretability of the ultrasound image analysis results?; What were the specific methodologies, patient cohorts, and key outcomes of the 'performance evaluations and clinical validation' that demonstrated the LVivo application's conformity to its intended use and substantial equivalence?; Does the new LVivo PLAX module offer specific advantages over existing manual or automated methods for cardiac measurements, particularly regarding accuracy, reproducibility, or workflow efficiency?; What are the specific limitations, contraindications, or patient populations for which the LVivo Software Application is not recommended or has not yet been validated?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Post-§524B but no clear network capability detected

Learn how Parasoft automates IEC 62304 compliance testing →

Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score5/100
SBOM Evidence⚠ Not in summary - likely in full submission per §524B
Cyber Risk Assessment⚠ Not in summary - likely in full submission per §524B
Postmarket Plan⚠ Not in summary - likely in full submission per §524B
§524B ApplicableYes

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(interpretability, labeling)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM detected in AI-generated device summary.

• SBOM not mentioned in AI-generated device summary. Under §524B (effective Oct 2023), cyber devices must provide a SBOM.

• Cybersecurity risk assessment not referenced in AI-generated device summary. FDA cybersecurity guidance (2023) expects this for cyber devices.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

• Not detected in AI-generated device summary: SBOM, SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

Preparing a similar submission?

ESL takes complete ownership of your software evidence work - SBOM & CVE remediation with SBOMator™, static analysis & unit testing with Parasoft, traceability, and full IEC 62304 lifecycle support.

Assess Your Readiness →Or contact ESL directly
LVivo Software Application - DiA Imaging Analysis Ltd. | ESL FDA AI Device Intelligence