Vivid E80, Vivid E90, Vivid E95
GE Medical Systems Ultrasound and Primary Care Diagnostics, • Radiology • 10/25/2018
Device Purpose
The Vivid E80, E90, and E95 systems are general-purpose diagnostic ultrasound platforms, with a specialization in cardiac imaging, designed for a broad spectrum of clinical applications including obstetrics, abdominal, pediatric, and vascular imaging. These systems utilize diverse electronic array transducers and advanced imaging modes like 2D, real-time 3D/4D, Doppler, and innovative software-driven enhancements such as CT Fusion, AI-powered automatic view recognition, and enhanced quantification tools to provide comprehensive diagnostic information and streamline clinical workflows.
Summary
The Vivid E80, E90, and E95 are advanced diagnostic ultrasound systems designed for a wide range of clinical applications, with a primary specialization in cardiac imaging for both adult and pediatric patients. Their utility extends to fetal/obstetrics, abdominal (including renal and GYN), pediatric, small organs (breast, testes, thyroid), neonatal and adult cephalic, peripheral vascular, musculo-skeletal (conventional and superficial), urology (including prostate), transesophageal, transrectal, transvaginal, and intraoperative (abdominal, thoracic, & vascular) imaging; these systems operate using various electronic array transducers, including linear, curved linear, sector/phased array, and matrix array formats, along with dedicated CW transducers, supporting 2D imaging on the E80, and real-time 3D/4D imaging capabilities on the E90 and E95 models. The systems employ fundamental ultrasound scientific technology and incorporate several new and enhanced features aimed at improving diagnostic capabilities and workflow, including "CT Fusion" for simultaneous viewing of aligned CT and 4D ultrasound data (Vivid E95), "4D Marker" for manual annotation in 3D/4D datasets, "4D Auto LAQ" for Left Atrium quantification, and workflow improvements like "AutoEF 2.0" and "AFI 2.0" (now for pediatric use). A significant technological advancement is "Automatic View Recognition," utilizing a deep neural network for automated image selection; other enhancements comprise updated Z-Score references, "Stream Server" for real-time remote data visualization, "Tricefy Uplink" for cloud service dataflow, an upgrade to Windows 10 Embedded OS with "Whitelisting" cybersecurity, "Texture" imaging for structural enhancement, a "Hybrid Filter" for B-mode image post-processing, an optional 24” LCD monitor, and a reduction in system weight, with non-clinical tests confirming compliance with relevant safety and performance standards.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the "CT Fusion" feature on the Vivid E95 quantitatively improve diagnostic confidence or alter clinical management pathways in complex cardiac cases compared to sequential review of CT and 4D ultrasound?; What specific deep neural network architecture is employed for "Automatic View Recognition," and what was its performance (sensitivity, specificity, accuracy) on diverse patient datasets during validation for AFI 2.0 and Auto EF 2.0?; Beyond workflow improvement, does the "Texture" imaging technique provide enhanced diagnostic information for specific pathologies (e.g., subtle myocardial texture changes, characterization of small organ lesions) that is not apparent with conventional B-mode imaging?; What are the technical specifications and validation data for the "Stream Server" regarding image quality fidelity, latency, and data security during real-time 2D and 4D ultrasound data transmission over LAN/WLAN?; Are there comparative studies demonstrating the impact of "4D Auto LAQ" on inter-observer variability and accuracy for Left Atrium volume, emptying fraction, and strain assessment versus traditional 2D or manual 3D methods?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement
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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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