V8 Diagnostic Ultrasound System, V7 Diagnostic Ultrasound System
Samsung Medison Co., Ltd. • Radiology • 02/13/2023
Device Purpose
The Samsung V8 and V7 Diagnostic Ultrasound Systems are designed to acquire multi-modal ultrasound images and analyze body fluids for a broad spectrum of clinical diagnostic applications, utilizing various imaging modes and specialized transducers. These systems integrate advanced Artificial Intelligence through features like NerveTrack, BiometryAssist, ViewAssist, and HeartAssist, which employ deep learning for automated anatomical detection, segmentation, and measurement, validated through non-clinical testing with a focus on accuracy and performance.
Summary
The Samsung V8 and V7 are mobile, software-controlled diagnostic ultrasound systems designed to acquire and display ultrasound data for a wide array of clinical applications. These applications span fetal/obstetrics, abdominal, gynecological, intra-operative, pediatric, small organ, cephalic (neonatal and adult), trans-rectal, trans-vaginal, musculoskeletal, urological, cardiac (adult and pediatric), thoracic, trans-esophageal (cardiac), and peripheral vessel imaging. The systems support multiple operational modes including 2D, M-mode, Color, Power, Pulsed Wave, and Continuous Wave Doppler, Tissue Doppler Imaging (TDI/TDW), ElastoScan, and combined 3D/4D imaging, facilitating comprehensive diagnostic assessments by qualified healthcare professionals. Technological advancements in the V8 and V7 systems include the integration and expansion of Artificial Intelligence (AI) features such as NerveTrack (for detecting nerves like Greater Occipital, Sciatic, Common Peroneal, Tibial), BiometryAssist (automating fetal biometry), ViewAssist (for fetal view recognition and anatomical annotation), and HeartAssist (for AI-based cardiac assessment in fetal and adult patients). These AI tools, validated through non-clinical testing against expert ground truths for accuracy and speed, aim to enhance diagnostic efficiency. The systems also incorporate new transducers (miniER7; V7 only: LA4-18AD, EV2-11ARE, EV2-11AVE, CV1-8AE) and migrate others (PA4-12B, LA2-9S; V7 only: LA3-14AD), expanding imaging capabilities, with all new patient-contacting components undergoing biocompatibility testing.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the performance of the AI-driven NerveTrack, BiometryAssist, ViewAssist, and HeartAssist features compare to traditional manual methods in terms of accuracy, time-efficiency, and inter-observer variability in real-world clinical settings?; Given the demographic limitations noted in the testing data (e.g., 'All Koreans' for NerveTrack), what steps are planned to validate or adapt these AI algorithms for broader, more diverse patient populations to ensure equitable performance?; What are the specific image acquisition protocols or quality thresholds recommended to ensure optimal input for the AI-based analysis features, and how do the systems guide users to meet these?; Could the AI algorithms, particularly HeartAssist and BiometryAssist, be further trained to detect subtle pathological indicators beyond standard anatomical measurements and view classifications?; For the NerveTrack feature, what is the typical depth penetration limit for reliable nerve detection across the expanded nerve types, especially in patients with higher BMI where tissue attenuation can be a challenge?
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, OBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Not detected in AI-generated device summary: SBOM, HBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
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