Ziostation2

by Ziosoft  · Based in Japan →Pioneering Advanced Visualization and AI-based Medical Imaging Solutions
Cardiology Cardiothoracic Surgery Radiology

Contact for pricing
Regulatory Status Disclosed

Overview

Ziostation2 is Ziosoft’s flagship advanced visualization and analysis platform, offering a comprehensive multi-modality, multi-specialty solution for healthcare professionals. It leverages both traditional and machine learning algorithms to unlock the potential of artificial intelligence (AI) for efficient and repeatable outcomes in medical imaging. The system handles large dataset sizes with ease, displaying high-definition Volume Rendered images, along with MPR, CPR, MIP, MinIP, SUM, VE, and Gradient MIP data visualizations.

Designed as an economical and scalable multi-departmental solution, Ziostation2 provides a full suite of regulatory cleared 2D, 3D, and 4D analytical tools, ensuring consistent functionality across the enterprise. It supports multi-modality fusion, allowing up to four different series from various phases or modalities to be layered for enhanced spatial relationship highlighting, aiding in surgical planning.

The platform is vendor-neutral and can be integrated into existing systems, offering flexible architecture for adding or modifying features without interruptions. It supports universal image access, accessible as a fully-featured thin-client or through VersaWeb via a web browser.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • 3D/4D Advanced Visualization
  • Multi-Modality Fusion (CT, MRI, PET, SPECT, Ultrasound, Digital X-ray, X-ray Angiography, Nuclear Medicine, Mammography, RT Image)
  • AI-enabled functionality for accelerated automation (e.g., calcium scoring)
  • Volume Rendering, MPR, CPR, MIP, MinIP, SUM, VE, Gradient MIP data visualizations
  • CT Liver Analysis (segmentation, volume measurement)
  • CT PA/PV Auto-Segmentation (lungs, bronchi, pulmonary artery/veins)
  • CT Cardiac Function (LV segmentation, ejection fraction, wall thickness)
  • TAVR pre-procedure annulus assessment
  • 4D Time Intensity Curves (TIC)
  • CT Lung Resection Planning

Use Cases

  • Enhanced diagnostic confidence
  • Precision in surgical and treatment planning
  • Pre-procedure assessment (e.g., TAVR)
  • Quantitative analysis of anatomy, physiology, and pathology
  • Multi-phase and multi-modality image overlay analysis
  • Streamlining workflow across enterprise imaging departments

What Physicians Need to Know

DICOM Support & Standards
Ziostation2 is compatible with any DICOM imaging modality data set. It supports DICOM services including Verification (SCU/SCP), Storage (SCU/SCP), Query/Retrieve (SCU/SCP), and Print Management (SCU).
PACS Integration Method
Ziostation2 is a vendor-neutral, multi-modality software solution that can send key images to PACS for inclusion in the patient record. It acquires and works with image data from multiple DICOM-compliant modalities and image archives.
Reading Room Workflow Impact
The tool offers workflow optimization features such as a customizable user interface, automated pre-processing, macros, and segmentation to maximize efficiency. It allows workspaces to be saved for multi-user access and interaction, aiming to enhance image analysis, prioritize urgent cases, and streamline documentation.
AI Model Architecture (deep learning approach)
Ziosoft's platform utilizes a robust and clinically validated algorithm driven by both traditional and new-era machine learning. It incorporates AI components for advanced solutions like automatic calcification scoring and employs PhyZiodynamics, an advanced 4D processing system, for automated registration of DICOM-based modality images.
FDA Clearance Pathway (510k/De Novo)
Ziostation2 features a 'Full Suite of US Regulatory-Cleared Applications'. The Ziostation platform, as an image processing workstation software package, has been described as being eligible for 510(k) clearance.
Supported Modalities (CT/MRI/X-ray/US)
Ziostation2 is a multi-modality software solution compatible with a wide range of DICOM imaging modalities, including CT, MR, PET, Nuclear Medicine, X-Ray Angio, and Ultrasound.
RSNA/ACR Validation
Ziosoft introduced its newest software for the Ziostation system, the Revoras platform (which is Ziostation2 with a new look), at the annual Radiological Society of North America (RSNA) conference in November 2022.
Physician Tip

Ziostation2 offers a comprehensive suite of advanced visualization and AI-powered analytical tools across multiple modalities, which can significantly enhance diagnostic capabilities and workflow efficiency. Physicians should leverage its customizable interface and automated pre-processing features to tailor workflows to their specific needs. The ability to save workspaces facilitates collaborative review and continuity of care. While specific sensitivity and specificity data for its AI features were not detailed, the platform's regulatory clearance and use of machine learning for tasks like calcification scoring suggest a focus on clinically relevant outcomes. Consider the integration capabilities with existing PACS to ensure seamless data flow and optimize image management.

Ziostation2 is designed as a vendor-neutral and multi-modality software solution, emphasizing broad compatibility with DICOM imaging modalities and archives. Its integration with PACS is facilitated by DICOM standards for image and metadata transfer, allowing key images to be easily sent to the patient record. Effective integration with existing hospital information systems (HIS) and radiology information systems (RIS) would typically leverage standard protocols like HL7 for patient demographics and order management, ensuring synchronized data throughout the imaging workflow.

Details

Category Radiology & Imaging AI, Surgical AI
Pricing Contact for pricing Subscription; Flexible purchasing plans
DeploymentOn-premise (customer-owned hardware); Thin-client; Web-browser (VersaWeb)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Ziostation2 received U.S. FDA 510(k) clearance K181892 on October 9, 2018, classified as a Picture Archiving And Communications System (21 CFR 892.2050). Ziosoft also holds other clearances, including for its CT Dual kV image analysis software. Ziosoft states its Quality Management System is in full compliance with regulatory requirements of markets in which it operates.

Integrations
EHR Not specified
Specialties Cardiology, Cardiothoracic Surgery, Radiology

What the Web Says

Ziostation2 is an advanced visualization and analysis solution for medical imaging, designed to handle large datasets and provide extensive multi-modality and multi-specialty protocols. It aims to assist healthcare professionals in diagnosing and assessing various pathologies, including cardiovascular, respiratory, and pulmonary conditions. The software is accessible through a fully-featured thin-client or a web browser, offering flexibility and ease of integration with existing systems.

Overall: Mixed

Strengths

  • Superior performance with extreme speed and reliability for large studies and high-resolution images.
  • Extensive suite of multi-modality and multi-specialty protocols.
  • Handles growing dataset sizes with ease, displaying high-definition 3D analysis and various data visualizations.
  • Multi-modality fusion protocol highlights spatial relationships for surgical planning.
  • Vendor-neutral, hardware-independent, and DICOM compliant, ensuring ease of integration.
  • Accessible remotely through a thin-client or web browser (VersaWeb).

Limitations

  • Specific reviews from physicians, healthcare IT professionals, tech reviewers, Reddit, G2, and Capterra directly addressing Ziostation2 are not readily available in the search results.
  • General concerns about review platforms like Capterra and G2 include potential for incentivized or fake reviews, slow publishing, and bias.
  • Some users on G2 and Capterra have reported issues with customer service and review approval processes on those platforms.
  • No specific cons related to Ziostation2's functionality or performance were found in the provided search results.
  • Information regarding pricing models (beyond a mention of a subscription program for Ziostation software in 2009) is not detailed.
  • Lack of recent, independent user reviews makes it difficult to assess current user satisfaction and potential issues.

Based on reviews from: Ziosoft, AuntMinnie, G2, Capterra, Trustpilot

Last updated: 2026-07-19

Ratings & Reviews

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Ease of Use
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Press & Coverage

Imaging Technology News
Ziosoft Introduces Next Generation Ziostation Platform at Annual Radiological Society of North America Conference
Ziosoft introduced its Revoras platform, the newest generation of Ziostation technology (Ziostation2 with a new look), at RSNA 2022, offering productivity enhancements and new visualization technology including Rembrandt image rendering capability. The platform is available to current Ziostation2 customers and Zioflex monthly subscription holders.
2022-11
AuntMinnie
Ziosoft software peers into COVID-19 organ damage
Ziosoft showcased how its Ziostation2 workstation's vendor-neutral 3D/4D visualization software can help assess damage to the heart and other organs from COVID-19, including cardiovascular, respiratory, and pulmonary pathology, at RSNA 2020.
2020-12
PRWeb
Ziosoft Introduces Zioflex Subscription Model at the Annual Radiology Society of North America
Ziosoft launched its new Zioflex subscription model for its AI-based software at RSNA 2021, designed to eliminate capital investment risk. The company also showcased its flagship Ziostation2, a multi-modality and scalable enterprise solution.
2021-11
AuntMinnie
Ziosoft lands FDA clearance for dual-energy CT software
Ziosoft received FDA clearance for its dual-energy CT software, available on its Ziostation2 image analysis platform.
2020-06
Reports of Practical Oncology and Radiotherapy
Automatic pelvic bone segmentation for radiotherapy using diagnostic imaging workstation
A study published in December 2025 evaluated the usefulness of Ziostation2 for automatic pelvic bone segmentation in radiotherapy, finding it improved efficiency and accuracy compared to other methods.
2025-12
PLOS One
Quantitative analysis of chest computed tomography of COVID-19 pneumonia using a software widely used in Japan
A research article from October 2023 investigated the use of Ziostation2 (Z2) for quantitative analysis of chest CT scans in COVID-19 pneumonia patients, concluding that Z2 is useful for assessing clinical severity.
2023-10
MDPI
Size Measurement and Segmentectomy Resection Margin of Early-Stage Lung Adenocarcinoma Manifesting on Virtual 3D Imagery and Pathology: A Pilot Correlation Study
An October 2022 study demonstrated that 3D reconstructed models using Ziostation2 aided in understanding pulmonary anatomy, prompting confidence in surgical approaches and ensuring segmentectomy outcome success for early-stage lung adenocarcinoma.
2022-10
Journal of the American Heart Association
Right Atrial Function as a Novel Predictor for Newu2010Onset Atrial Fibrillation in Transthyretin Amyloid Cardiomyopathy
A study published in April 2026 utilized Ziostation2 software to calculate extracellular volume in patients with transthyretin amyloid cardiomyopathy, investigating right atrial function as a predictor for new-onset atrial fibrillation.
2026-04

Videos

Product demos, reviews, and walkthroughs for Ziostation2.

View all on YouTube

Frequently Asked Questions

Ziostation2 incorporates AI-enabled functionalities for advanced visualization and analysis, such as automatic calcification scoring in cardiovascular disease and automated segmentation for CT lung resection planning. These AI features aim to provide efficient, repeatable outcomes and enhance quantitative analysis across various imaging modalities.
Ziosoft (Qi Imaging), the developer of Ziostation2, maintains a Quality Management System that complies with regulatory requirements, including US FDA 510(k) clearances (K151212, K181892) and the European CE Mark. The software is intended to supplement, not replace, the interpretations of trained medical professionals.
While Ziostation2 offers advanced AI features, general concerns with healthcare AI include potential biases from training data that could lead to disparate outcomes across patient populations, and the 'black box' problem where the AI's reasoning may not be fully transparent. Physicians also consider accountability when AI-powered tools fail and the need for robust data privacy and safety validation.
Yes, the market for AI medical imaging is growing, with several alternatives offering specialized capabilities. Competitors include platforms like Aidoc, Viz.ai, PathAI, Tempus, Google Health AI, Qure.ai, Enlitic, and Siemens Healthineers' AI-Rad Companion, each with varying focuses on image analysis, workflow optimization, and specific clinical applications.
Ziostation2 is positioned as an economical and scalable multi-departmental solution. Ziosoft offers a monthly subscription program called Zioflex, designed to provide a flexible introduction to its clinical applications. The software's vendor-neutral nature and compatibility with existing hardware can help mitigate expensive capital outlays compared to systems requiring proprietary hardware.
While specific details on Ziostation2's data security protocols are not extensively detailed, Ziosoft's overall compliance with regulatory requirements, including FDA and CE Mark, implies adherence to data protection standards. Generally, AI systems in healthcare must comply with regulations like HIPAA, and advancements in federated learning aim to improve models without centralizing sensitive patient data.
Ziostation2 is designed as a vendor-neutral and multi-modality advanced visualization platform, indicating its capability to integrate with various imaging modalities and archives that are DICOM-compliant. This integration aims to streamline workflows, provide consistent functionality across the enterprise, and enhance diagnostic confidence by consolidating image analysis.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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