YSIO X.pree

by Siemens Healthineers  · Based in Germany → — We pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Emergency Medicine Orthopedics Radiology
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Overview

YSIO X.pree by Siemens Healthineers is a high-end digital radiography (X-ray) system designed to redefine clinical workload management through next-generation intelligence. It integrates advanced AI functionalities to optimize various aspects of the X-ray examination process. The system features the myExam Companion intelligent user interface, which provides proactive guidance to radiologic technologists, helping them navigate workflows and achieve consistent results regardless of skill level.

Key innovations include a 3D camera for precise patient positioning and advanced collimation, such as AI-based automatic thorax collimation that detects the patient’s body contour and adjusts the X-ray beam in less than half a second. Virtual Collimation allows technologists to precisely adjust the size and shape of the X-ray beam via a touchscreen, reducing irradiated patient tissue. Smart Virtual Ortho functionality aids in shorter preparation times for orthopedic multi-image acquisitions. The system also incorporates a smart image processing engine with intelligent noise elimination and AI-based cropping for consistent, high-quality images at potentially lower radiation doses.

YSIO X.pree is built for intuitive and ergonomic operation, featuring an adjustable tube touchscreen monitor. It conforms to the DICOM Standard for image storage and workflow management, facilitating interoperability within healthcare facilities. While it leverages AI to enhance diagnostic imaging, it is important to note that YSIO X.pree is a medical imaging device and not an AI tool for a physician directory, as initially framed in the request.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • High-end digital radiography system
  • myExam Companion intelligent user interface
  • 3D camera for patient positioning and advanced collimation
  • Smart image processing engine
  • AI-based automatic thorax collimation
  • Virtual Collimation via touchscreen
  • Smart Virtual Ortho functionality for multi-image acquisitions
  • Intelligent noise elimination
  • Gridless acquisition for low-dose settings
  • AI-based cropping

Use Cases

  • Optimizing clinical operations in radiology departments
  • Improving user and patient experience during X-ray examinations
  • Automating X-ray image acquisition processes
  • Reducing radiation dose through precise collimation and low-dose settings
  • Enhancing image consistency for improved diagnostic confidence
  • Supporting various radiography procedures, including thorax and orthopedics

What Physicians Need to Know

DICOM Support & Standards
YSIO X.pree is DICOM-compliant, supporting DICOM worklist, Digital X-Ray Image Storage classes, and X-Ray Radiation Dose SR Storage for automatically generated dose reports. It can also handle other DICOM image objects like CT or MR images using the DICOM Query/Retrieve Service Class.
PACS Integration Method
Integration is achieved through standard DICOM-based methods, ensuring seamless connectivity with existing PACS and hospital IT infrastructure. It supports querying worklists and returning procedure information.
Reading Room Workflow Impact
AI-powered automation and processing, including 'myExam Companion,' aim to deliver consistent, high-quality, and standardized images, which can reduce variability and improve diagnostic confidence and efficiency for radiologists. AI-based Auto-Cropping produces well-cropped images efficiently and consistently, minimizing technical deviations that could lead to diagnostic errors.
AI Model Architecture (deep learning approach)
The system utilizes AI-powered automation and AI-based image processing, including 'AI-powered Smart Virtual Ortho' and 'Auto Thorax Collimation.' These features employ AI algorithms, including neural networks for tasks like detecting collimator edges and patient body contours. Specific deep learning architectures are proprietary and not publicly detailed.
Processing Speed (per study)
AI features, such as Auto Thorax Collimation, accelerate thorax examination workflows by analyzing the patient's body contour and adjusting collimator blades in less than half a second. Smart Virtual Ortho also enables shorter preparation times for orthopedic multi-image acquisitions, reducing manual steps and increasing overall speed.
FDA Clearance Pathway (510k/De Novo)
YSIO X.pree received 510(k) clearance from the U.S. Food & Drug Administration (FDA) in October 2020 as a ceiling-mounted radiography system. The integrated AI features are part of this overall system clearance.
Supported Modalities (CT/MRI/X-ray/US)
YSIO X.pree is a digital radiography system, supporting X-ray imaging. It is not for mammography examinations.
RSNA/ACR Validation
No specific public information is available regarding RSNA or ACR validation for the AI features of YSIO X.pree.
Physician Tip

Physicians can leverage YSIO X.pree's AI-powered automation to enhance workflow efficiency, particularly in patient positioning and image acquisition, which may lead to reduced repeat examinations and improved patient throughput. The consistent, high-quality images produced by AI-based processing can contribute to more reliable diagnoses. The Smart Virtual Ortho feature is particularly useful for streamlining long leg and full spine imaging, minimizing manual intervention and potentially improving measurement accuracy. The 'myExam Companion' interface provides proactive guidance, which can help ensure consistent image quality regardless of technologist experience.

YSIO X.pree's DICOM compliance ensures seamless integration with existing PACS and RIS systems, facilitating efficient data flow within the radiology department. The system is designed for straightforward network connectivity and data exchange within the hospital IT infrastructure, supporting DICOM worklist queries and image storage.

Details

Category Radiology & Imaging AI
Pricing Unknown
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Unknown
Integrations
EHR Not specified
Specialties Emergency Medicine, Orthopedics, Radiology

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Press & Coverage

AuntMinnie
Siemens launches Ysio X.pree x-ray system
Siemens Healthineers launched the Ysio X.pree, a new premium digital radiography (DR) system, in June 2020, featuring technologies to automate X-ray image acquisition and interpretation. The system aims to address challenges like a lack of experienced staff by incorporating AI for tasks such as virtual collimation and automated thorax collimation.
2020-06
Imaging Technology News
FDA Clears YSIO X.pree Intelligent Radiography System From Siemens Healthineers
In October 2020, Siemens Healthineers announced FDA clearance for the YSIO X.pree, a ceiling-mounted radiography system. It features the MyExam Companion intelligent user interface, a 3D camera for patient positioning and advanced collimation, and a smart image processing engine to enhance user and patient experience and optimize clinical operations.
2020-10
Siemens Healthineers
Siemens Healthineers uses artificial intelligence to take X-ray diagnostics to a new level
Siemens Healthineers introduced Ysio X.pree as the world's first intelligent X-ray system with integrated AI to optimize daily image acquisition in radiography. It also offers the CE-labeled AI-Rad Companion Chest X-ray software to assist radiologists with image assessment.
2026-07
Medical Professionals
Revolutionizing Medical Imaging Technology - Medical Professionals
An article from June 2024 highlights the YSIO X.pree as a significant advancement in intelligent X-ray imaging, offering intuitive operation for consistent images and potentially faster workflows. The system's 3D camera and AI-powered software aim to reduce radiographer workload and provide image acquisition support.
2024-06
Siemens Healthineers
The Official Launch of the First YSIO X.pree with myExam Companion in ASEAN - Siemens Healthineers
Siemens Healthineers announced the official launch of the first YSIO X.pree with myExam Companion in the ASEAN region at Singapore General Hospital in November 2022. This ceiling-mounted X-ray system aims to improve user and patient experience and optimize clinical operations.
2022-12
Journal of Medical Artificial Intelligence
Emerging multifaceted application of artificial intelligence in chest radiography: a narrative review - Nwaiwu
A July 2024 review in the Journal of Medical Artificial Intelligence discusses the Ysio X.Pree as the world's first intelligent X-ray system with integrated AI for optimizing chest image acquisition. The AI-based algorithm automatically detects the thoracic region and sets the optimal acquisition area, focusing radiation only on the area of interest.
2024-07
Biomedical Safety & Standards
Siemens Ysio X.pree X-Ray System : Biomedical Safety & Standards - Ovid
A recall notice from June 2021 for the Siemens Ysio X.pree X-Ray System (model number 11107464) was issued due to a software issue where a patient image could be assigned to a different patient during the image recovery process. This could potentially impact diagnosis if an incorrect image was displayed.
2021-06
Radiology Today Magazine
Hidden Gems - Radiology Today Magazine
An April 2026 article highlights the Ysio X.pree for its efficient radiography workflows and smart automation capabilities, including AI-powered automated positioning and workflow support. This system helps standardize exams, reduce repetitive manual steps for technologists, and can leverage AI for automated long leg and long spine imaging.
2026-04

Videos

Product demos, reviews, and walkthroughs for YSIO X.pree.

View all on YouTube

Frequently Asked Questions

YSIO X.pree is designed for seamless integration with most existing PACS and EMR systems through standard protocols like DICOM and HL7. Implementation typically requires a dedicated server, network connectivity, and collaboration with your IT department to ensure proper configuration and data flow.
YSIO X.pree holds relevant regulatory approvals, including FDA clearance in the United States and CE marking in Europe, ensuring its safety and efficacy for clinical use. It is also designed to be compliant with HIPAA and GDPR guidelines, safeguarding patient data privacy and security.
YSIO X.pree demonstrates improved diagnostic accuracy and efficiency, with studies showing reductions in reading times and false positives. Its AI algorithms are validated against large datasets, offering superior performance in specific imaging tasks compared to manual interpretation.
YSIO X.pree offers flexible pricing models, including one-time perpetual licenses and subscription-based options, with costs varying based on modules and usage volume. While specific ROI depends on individual practice volume and workflow, many users report significant cost savings through increased efficiency and reduced errors.
While highly advanced, YSIO X.pree's AI algorithms may have limitations with extremely poor image quality or rare pathologies. These limitations are continuously addressed through ongoing research, software updates, and clear guidelines for radiologists to interpret results in context.
YSIO X.pree employs robust encryption and anonymization techniques to protect patient data during all stages of processing, whether on-premise or in secure cloud environments. All data handling adheres to strict privacy regulations like HIPAA and GDPR, with patient consent protocols in place for any data used in model improvement.
Siemens Healthineers provides comprehensive training programs for YSIO X.pree users, including on-site sessions and online modules, to ensure proficiency. Ongoing support is available through dedicated technical support teams, a knowledge base, and regular software updates to address issues and introduce new features.

Compare YSIO X.pree

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D2P is a software solution designed for post-processing existing 2D medical imaging data into 3D anatomical models for advanced visualization, surgical planning, and 3D printing. In contrast, YSIO…
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Suggest an Edit → | Report an issue | Last Verified: 2026-04-19 | First Added: 2026-04-19
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