Vivid T8, Vivid T9
GE Medical Systems Ultrasound and Primary Care Diagnostics • Radiology • 09/09/2020
Device Purpose
The Vivid T8/Vivid T9 is an advanced, mobile diagnostic ultrasound system primarily focused on cardiac imaging, employing a variety of transducers and imaging modes to provide comprehensive diagnostic capabilities across numerous clinical applications. It integrates artificial intelligence for automated measurements and enhanced image analysis, alongside features like Scan Coach and Stream Server to improve workflow efficiency and support remote collaboration.
Summary
The Vivid T8/Vivid T9 is a general-purpose diagnostic ultrasound system, with a specialization in cardiac imaging, intended for use by qualified healthcare professionals. It facilitates ultrasound imaging, measurement, display, and analysis of the human body and fluid across a wide array of clinical applications including Fetal/Obstetrics, Abdominal, Pediatric, Small Organ, Cephalic (Neonatal and Adult), Cardiac, Peripheral Vascular, Musculoskeletal, Transcranial, Transesophageal, Transrectal, Transvaginal, interventional guidance, and intraoperative vascular procedures. The system employs various electronic array transducers (linear, curved, sector/phased, matrix, dual array, and dedicated CW) and supports multiple operating modes such as B-mode, M-mode, PW Doppler, CW Doppler, Color Doppler, Color M-mode, Power Doppler, Harmonic Imaging, Coded Pulse, and combined modes. The Vivid T8/Vivid T9 system is a mobile console featuring a control panel, color LCD touch panel, LCD display monitor, and options for image storage and printing. It incorporates advanced features like AI Auto Measure – 2D for semi-automated cardiac measurements on PLAX images, AI Auto Measure – Spectrum Recognition for automated Doppler spectra recognition and measurement initiation, AFI 3.0 for left ventricle analysis from GEHC raw data and third-party DICOM images, and Auto EF 3.0 for LV function assessment under similar conditions. Additional functionalities include AFI RV for right ventricular strain analysis, AFI LA for left atrial strain and volume measurements, Scan Coach for image acquisition guidance, and Stream Server for remote viewing and consultation. Hardware enhancements include a new CPU, a new LCD monitor, an HDMI port, and an upgrade from USB2.0 to USB3.1.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How do the AI-based auto-measurement features (AI Auto Measure, Auto EF 3.0, AFI 3.0) compare in accuracy and processing time to manual measurements by experienced sonographers across diverse patient populations?; What specific algorithms underpin the AI Auto Measure – Spectrum Recognition, and how robust is its recognition across atypical Doppler spectra or noisy signals?; For the AFI 3.0 and Auto EF 3.0 features that analyze DICOM images from third-party scanners, what are the compatibility requirements and potential limitations when processing data from different vendors' systems?; How does the 'Scan Coach' feature adapt its guidance for users with varying levels of sonography experience, and what is its impact on standardizing image acquisition quality?; What are the data security protocols and typical latency for the 'Stream Server' feature when used for remote guidance or second opinions, especially in settings with variable network bandwidth?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
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.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
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, SaaSBOM, HBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.
• Not detected in AI-generated device summary: SBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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