V5 Diagnostic Ultrasound System, H5 Diagnostic Ultrasound System, XV5 Diagnostic Ultrasound System, XH5 Diagnostic Ultrasound System, V4 Diagnostic Ultrasound System, H4 Diagnostic Ultrasound System, XV4 Diagnostic Ultrasound System, XH4 Diagnostic Ultrasound System
Samsung Medison Co., Ltd. • Radiology • 12/10/2024
Device Purpose
Samsung Medison's V/H/XV/XH series are mobile, software-controlled diagnostic ultrasound systems that leverage diverse imaging modes and AI-assisted features to enhance image analysis and measurement for a broad range of clinical applications. These systems' safety and effectiveness were validated through extensive non-clinical testing, demonstrating substantial equivalence to existing devices.
Summary
Samsung Medison Co., Ltd. has developed a series of mobile, software-controlled diagnostic ultrasound systems, including models V5, H5, XV5, XH5, V4, H4, XV4, and XH4. These systems are designed for comprehensive general diagnostic imaging and fluid flow analysis across a wide range of clinical specialties. Their intended use spans fetal/obstetrics, abdominal, gynecology, cardiac, small organ, and vascular imaging, catering to trained healthcare professionals in diverse settings such as hospitals and private practices. The devices have been determined to be substantially equivalent to existing market systems, indicating their adherence to established safety and performance benchmarks.The scientific basis of these systems lies in their ability to generate detailed images and data through various ultrasound modes, including 2D, Color Doppler, Power Doppler, M-mode, Pulsed Wave Doppler, Continuous Wave Doppler, Tissue Doppler Imaging, ElastoScan, 3D/4D, and MV-Flow. A key technological advancement is the integration of AI-assisted features like BiometryAssist, HeartAssist, ViewAssist, UterineAssist, and NerveTrack, which leverage artificial intelligence to enhance image analysis accuracy and automate measurements. The methodology for validating the systems' safety and effectiveness involved extensive non-clinical testing, covering critical areas such as acoustic output, biocompatibility, software functionality, cleaning protocols, and electrical and mechanical safety, with specific validation performed for the integrated AI components, thereby obviating the need for further human clinical trials.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. What specific clinical scenarios demonstrate the most significant improvement in diagnostic accuracy or workflow efficiency when utilizing the AI-assisted features compared to traditional methods?; Given the "substantial equivalence" finding, what unique technological advancements or novel applications do these specific Samsung Medison models offer beyond their predecessors?; Are there any long-term data or post-market surveillance plans in place to assess the real-world performance and reliability of the AI algorithms, particularly concerning potential biases or variations across diverse patient populations?; How do the various advanced imaging modes (e.g., ElastoScan, MV-Flow) contribute to specific clinical diagnoses, and are there particular areas where one mode offers a distinct advantage over others?; What are the training requirements or certification processes recommended by Samsung Medison for healthcare professionals to optimally utilize the advanced and AI-assisted functionalities of these systems?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Post-§524B but no clear network capability detected
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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.
• SBOM not mentioned in AI-generated device summary. Under §524B (effective Oct 2023), cyber devices must provide a SBOM.
• Cybersecurity risk assessment not referenced in AI-generated device summary. FDA cybersecurity guidance (2023) expects this for cyber devices.
• 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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