Vivid S60N, Vivid S70N
GE Medical Systems Ultrasound and Primary Care Diagnostics, • Radiology • 07/15/2022
Device Purpose
The Vivid S60N/S70N is an advanced diagnostic ultrasound system designed for comprehensive multi-application imaging, with a primary specialization in cardiac assessment, employing a range of transducer technologies and sophisticated imaging modes. It leverages fundamental ultrasound principles enhanced by new software features, including AI-powered automated measurement tools for cardiac function and workflow improvements, to provide detailed anatomical and physiological data for clinical decision-making.
Summary
The Vivid S60N/S70N is a mobile, full-featured diagnostic ultrasound system primarily designed for comprehensive cardiac imaging and analysis, but also supports a wide array of other clinical applications including vascular, general radiology, fetal/obstetrics, pediatric, and musculoskeletal imaging. It operates via a user-friendly console with an adjustable control panel and LCD touch screen, utilizing various electronic array transducers (linear, curved, sector/phased, matrix, 3D) and imaging modes such as B-mode, M-mode, Doppler (PW, CW, Color, Power), and 3D/4D imaging. The system is intended for use by qualified physicians in hospital settings like echo labs, operating rooms, and catheterization labs, as well as private medical offices, to perform ultrasound imaging, measurement, display, and analysis of the human body and fluids. While employing the same fundamental ultrasound technology as its predecessors, the Vivid S60N/S70N introduces significant software enhancements and expanded applications. Key new features include HD Live imaging, various workflow improvement tools (Dual Crop, Image Spooler), and AI-driven functionalities such as Easy Auto EF and Easy AFI LV, which leverage AI Auto ROI algorithms for automated cardiac measurements. These AI algorithms demonstrated high accuracy (dice scores ≥91-92%) on diverse datasets. Other additions include Strain Elastography, Remote Viewing capabilities (non-diagnostic), and an expanded indication for Thoracic/Pleural applications. The system's AI was validated using anonymized adult patient data from multiple global regions, various scanning views, and a range of left ventricle volumes, with ground truth established through a rigorous cardiologist consensus process.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the performance of the 'Easy Auto EF' and 'Easy AFI LV' AI algorithms vary in patient populations with significant cardiac pathologies or anatomical variations not extensively represented in the summarized test dataset?; What is the specific impact of the 'HD Live' feature on diagnostic confidence or accuracy across the various indicated cardiac and non-cardiac applications?; Can the 'Remote Viewing' feature be integrated with existing hospital Picture Archiving and Communication Systems (PACS) or teleradiology platforms, and what data security measures are implemented for this network streaming capability?; For the newly added 'Thoracic/Pleural' application, which specific transducers and imaging presets are optimized, and how does its performance compare to existing dedicated lung ultrasound systems?; Regarding the 'Imaging Insights Data Collection Support,' how is this device usage information anonymized and utilized by the manufacturer, and can clinicians access or leverage this data for their own quality improvement or research initiatives?
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 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, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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