V8 Diagnostic Ultrasound System, V7 Diagnostic Ultrasound System
Samsung Medison Co., Ltd. • Radiology • 06/29/2022
Device Purpose
The V8 and V7 Diagnostic Ultrasound Systems are designed to provide comprehensive, multi-modal ultrasound imaging and body fluid analysis for a wide range of clinical applications, operated by qualified healthcare professionals. These systems utilize advanced software control and incorporate AI-enhanced features, such as the NerveTrack for improved nerve identification, and offer new transducer options to enhance diagnostic versatility and performance.
Summary
The V8 and V7 Diagnostic Ultrasound Systems are general-purpose, mobile, software-controlled devices designed for acquiring ultrasound images and analyzing body fluids to aid in clinical diagnosis by trained healthcare professionals. These systems support a comprehensive range of clinical applications, including fetal/obstetrics, abdominal, gynecological, cardiac, musculoskeletal, and peripheral vessel imaging, among others. They offer multiple modes of operation such as 2D, Color Doppler, Power Doppler, M-mode, Pulsed Wave and Continuous Wave Doppler, Tissue Doppler Imaging, ElastoScan, and 3D/4D imaging, providing versatile diagnostic capabilities for use in hospitals, private practices, and clinics. The V8/V7 systems build upon existing ultrasound technology, with notable enhancements including an expanded AI-based NerveTrack feature in the V8 model for detecting specific nerve types in the elbow (Median, Ulnar, Radial nerves) and neck/shoulder (Infraclavicular, Supraclavicular, Axillary Brachial Plexus). This AI feature was validated for accuracy (average 91.7%) and speed (average 7.93 FPS) using a dataset of 2,146 images from 18 Korean subjects, demonstrating good generalizability across BMI subgroups. The V7 system introduces three new transducers (CA1-7SD, EA2-11ARD, EA2-11AVD) and incorporates a migrated transducer (CV1-8AD), all of which have undergone biocompatibility and image performance testing. Both systems maintain capabilities for anatomical measurements, real-time acoustic output display (Mechanical Index and Thermal Index), image capture, review, and reporting.
AI Regulatory Concerns
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Keywords
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Relevant Clinical Questions
- Q1. How does the NerveTrack AI algorithm differentiate between the specific nerve types (MN, UN, RN, ISBP, SCBP, AxBP), and what are its performance metrics for each individual nerve type, especially in varying patient anatomies or pathological conditions?; Given that the NerveTrack AI validation dataset consisted entirely of Korean subjects, what studies are planned or would be recommended to assess its performance and generalizability across more diverse ethnic populations and varied BMI distributions?; What are the specific image quality improvements or quantitative performance benefits (e.g., resolution, penetration, contrast) offered by the new transducers (CA1-7SD, EA2-11ARD, EA2-11AVD) and the migrated transducer (CV1-8AD) on the V7 system compared to previous or alternative transducers?; Beyond the listed accuracy and speed for NerveTrack, what is the sensitivity and specificity of the AI for detecting nerves, particularly in challenging cases with subtle anatomical variations or overlying structures?; How does the ElastoScan mode on the V8/V7 systems quantitatively assess tissue stiffness, and what validation has been performed to correlate its findings with established diagnostic methods across its intended clinical applications?
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 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, SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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