YSIO MAX
SIEMENS MEDICAL SOLUTIONS USA, INC. • Radiology • 01/24/2014
Device Purpose
The Ysio Max is an advanced modular radiographic X-ray system designed for comprehensive diagnostic imaging across various patient demographics and clinical applications, including minor interventions. It utilizes new generation digital and wireless detectors, alongside innovative system control software with features like FAST and AIM, to enhance image acquisition flexibility and improve operational workflow efficiency in medical settings.
Summary
The Ysio Max is a modular radiographic X-ray system designed for use in hospitals, clinics, and medical practices. It facilitates radiographic and tomographic exposures of the entire body, including the skull, chest, abdomen, and extremities, catering to pediatric, adult, and bariatric patients. The system can also be employed for intravenous procedures, minor interventions such as biopsies and punctures, and in emergency or trauma settings. It generates diagnostic images by converting X-rays into electronic signals using integrated or portable digital detectors, and is also compatible with conventional film/screen or Computed Radiography (CR) cassettes. Exposures can be performed with patients in sitting, standing, or prone positions, though the system is not intended for mammography. The Ysio Max builds upon its predicate device by incorporating several technological advancements focused on improving image acquisition and operational efficiency. These include a new generation of Trixell digital detectors, offering one integrated (43x43cm) and two wireless options (35x43cm and 24x30cm MAX Mini), providing greater flexibility and suitability for varied anatomical imaging. The system introduces enhanced control software featuring Free Axis Simultaneous Travel (FAST) across up to six axes and Artificial Intelligence Mapping (AIM) to optimize the path and speed of equipment positioning, thereby streamlining workflow. Further enhancements include the optional integration of Riverain ClearRead software for improved soft tissue visualization in digital chest X-rays and ergonomic updates such as new handgrips for the Bucky wall stand.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the 'Artificial Intelligence Mapping (AIM)' feature quantitatively improve workflow efficiency and patient throughput compared to systems without it?; What is the specific impact of the new Trixell detector generation on image quality (e.g., spatial resolution, contrast-to-noise ratio) and radiation dose reduction compared to the previous detectors?; What are the practical advantages and limitations of using the MAX Mini (24x30cm) wireless detector for specific anatomical regions like pediatric imaging or extremities, beyond just being 'optimal for smaller images'?; Given its capability for 'small interventions,' what specific safety features or imaging protocols are recommended when using the Ysio Max for procedures like biopsies or punctures?; How does the integration of Riverain ClearRead as an optional configuration affect the overall image processing time and diagnostic confidence for chest X-rays specifically?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Authorized before §524B enforcement
Learn how Parasoft automates IEC 62304 compliance testing →Cybersecurity Evidence
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 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.
• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.
• Not detected in AI-generated device summary: SBOM, ML-BOM, HBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
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