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Vivid iq

GE Medical Systems Ultrasound and • Radiology • 09/09/2020

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The Vivid iq system is a versatile diagnostic ultrasound platform leveraging multiple imaging modes and transducer technologies for comprehensive cardiovascular and shared service applications. It integrates artificial intelligence for automated measurements and enhanced image analysis, aiming to improve diagnostic capabilities and workflow efficiency for healthcare professionals.

Summary

The Vivid iq is a compact, high-performance diagnostic ultrasound system designed for cardiovascular and shared service applications. It is intended for use by qualified and trained healthcare professionals for ultrasound imaging, measurement, display, and analysis of the human body and fluid across a wide range of clinical applications, including Fetal/Obstetrics, Abdominal (including GYN, Urology), Pediatric, Small Organ (breast, testes, thyroid), Neonatal and Adult Cephalic, Cardiac (Adult and Pediatric), Peripheral Vascular, Musculoskeletal, Transcranial, Transrectal, Transvaginal, Transesophageal, Interventional Guidance, Intraoperative, Intracardiac, and Intraluminal procedures. The system supports various imaging modes such as B-mode, M-mode, PW Doppler, CW Doppler, Color Doppler, Color M-mode, Power Doppler, Harmonic Imaging, Real-Time 3D (4D) Mode, Coded Pulse, and combined modes, utilizing a range of linear, sector, convex, and phased array transducers. The Vivid iq incorporates several advanced features, many leveraging artificial intelligence, such as AI Auto Measure for 2D cardiac images and spectrum recognition, AFI 3.0 for left ventricular analysis (compatible with GEHC raw data and DICOM images from third-party scanners), Auto EF 3.0 for assessing LV function (also with GEHC and third-party DICOM compatibility), AFI RV for right ventricular strain, and AFI LA for left atrial strain and volume assessment. Other notable features include HD Color for enhanced 4D color perception, modifiable 4D markers, Scan Coach for user guidance in acquiring scan planes, Stream Server for remote guidance or second opinions, a Launchpad for qualified third-party software applications, additional lung imaging presets, and DICOM PDF Read capability. The system's fundamental scientific technology is consistent with previously marketed ultrasound devices, and non-clinical tests have verified its compliance with applicable standards for acoustic output, biocompatibility, cleaning/disinfection, and thermal, electrical, electromagnetic, and mechanical safety.

AI Regulatory Concerns

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Keywords

UltrasoundCardiovascularDiagnostic ImagingDopplerArtificial Intelligence (AI)EchocardiographyStrain Imaging (AFI)3D/4D ImagingTransducerDICOM

Device Metadata

Submission Number
K200708
Company
GE Medical Systems Ultrasound and
Panel
Radiology
Product Code
N/A
Data Type
Images
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the performance of the AI-driven 'AI Auto Measure – 2D' and 'AI Auto Measure – Spectrum Recognition' features compare to manual measurements by experienced sonographers in terms of accuracy and time efficiency?; What is the extent of compatibility and performance variability when 'AFI 3.0' and 'Auto EF 3.0' analyze DICOM images from various third-party ultrasound scanners compared to GEHC raw data?; What specific 'additional lung imaging presets' have been added, and what clinical benefits or diagnostic improvements are they expected to provide in relevant patient populations?; Could the 'Stream Server' feature introduce any cybersecurity vulnerabilities or patient data privacy concerns, and what specific security measures are implemented to mitigate these risks?; How does the 'Scan Coach' feature adapt its guidance for users with different levels of sonography experience, and what is its impact on image acquisition quality and consistency?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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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 Score55/100
SBOM Evidence✓ Detected in Summary
Cyber Risk Assessment✓ Detected in Summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

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

SBOMSoftware Bill of Materials(third-party software)
✓ Detected
ML-BOMMachine Learning Bill of Materials
- Not detected
SaaSBOMSoftware-as-a-Service Bill of Materials(server, remote, platform)
✓ Detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange(vulnerab)
✓ 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 SBOM, SaaSBOM, VDR/VEX detected in AI-generated device summary.

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

• Not detected in AI-generated device summary: ML-BOM, HBOM, CBOM, OBOM. These may be present in the full FDA submission.

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Vivid iq - GE Medical Systems Ultrasound and | ESL FDA AI Device Intelligence