Revolution Ascend Sliding

by GE HealthCare  · Based in China → — A new revolution in CT efficiency.
Cardiology Interventional Radiology Radiology

Regulatory Status Disclosed

Overview

The Revolution Ascend Sliding is a state-of-the-art Computed Tomography (CT) system manufactured by GE Hangwei Medical Systems Co. It is designed to deliver advanced clinical capabilities and exceptionally efficient workflow, leveraging artificial intelligence (AI) technology. The system features a 75-cm wide gantry opening and a lower table position to comfortably accommodate a broad range of patients, including those with high body mass index (BMI) and trauma cases.

At its core, the Revolution Ascend Sliding integrates AI-based features for an ‘Effortless Workflow,’ which intelligently automates tasks from pre-scan protocoling to post-scan processing. This includes AI-based patient centering via the Xtream camera, automatic selection of scan parameters (Auto prescription), and Auto Positioning technology that uses deep learning algorithms to determine optimal table elevation and cradle movements. For image reconstruction, it utilizes deep learning technologies such as TrueFidelity DL and True Enhance DL, which aim to improve image quality, reduce noise, and enhance sharpness at low radiation doses. The platform is scalable, offering configurations with 20-40 mm detector coverage and 64/128 slices, and can be upgraded over time. It also includes features like motion-artifact reduction for cardiac imaging and SmartMar for metal artifact reduction.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-based Effortless Workflow (automated patient centering, auto prescription, auto positioning)
  • Deep learning image reconstruction (TrueFidelity DL, True Enhance DL)
  • 75-cm wide gantry opening for patient comfort and accessibility
  • Scalable platform with 20-40 mm detector coverage and 64/128 slices
  • Low-dose imaging capabilities (ASiR-V, ACB)
  • Motion-artifact reduction for cardiac imaging
  • Smart Subscription for continuous software upgrades
  • Clarity Operator Environment for intuitive control
  • Bariatric table option supporting up to 306 kg
  • Interventional capabilities including 3D needle guidance tracking
  • SmartMar metal artifact reduction algorithm

Use Cases

  • Head, whole-body, cardiac, and vascular CT applications
  • Diagnosis of disease, trauma, or abnormality
  • Planning, guiding, and monitoring therapy
  • Interventional radiology procedures
  • Radiation oncology planning
  • Efficient scanning for high BMI and trauma patients

What Physicians Need to Know

Supported Modalities
CT (Computed Tomography).
AI Model Architecture (deep learning approach)
Revolution Ascend utilizes AI technology, including deep learning algorithms, for various functions. TrueFidelity™ imaging technology uses deep learning algorithms to enhance image quality, improve spatial resolution, and reduce image noise. The system also employs a dedicated deep neural network to generate TrueFidelity CT Images. AI-based Auto Positioning uses deep learning algorithms to detect landmark locations and determine proper patient positioning.
Reading Room Workflow Impact
The system is designed to streamline workflows and improve efficiency. Its Effortless Workflow suite, powered by AI, automates and simplifies time-consuming tasks, reducing clicks by 66% and potentially saving 56% of time for scan settings and 21% for the entire exam. This includes AI-based auto-positioning with 94% accuracy and intelligent protocoling with 90% accuracy. Automated post-processing applications for coronary analysis and calcium scoring, as well as FastStroke for CT ischemic stroke studies, are available. The Clarity Operator Environment provides optimal scan range settings, dose, and image quality.
DICOM Support & Standards
GE HealthCare products, including Revolution Ascend, provide DICOM Conformance Statements that describe their capabilities for sharing information using the Digital Imaging and Communication in Medicine Standard. The Revolution Ascend Sliding system is compliant with IEC 60601-1 Ed. 3.2 and associated collateral and particular standards, NEMA XR25, XR26, XR28, and 21CFR Subchapter J performance standards.
PACS Integration Method
GE HealthCare offers PACS and AI Orchestration solutions designed to seamlessly integrate third-party AI-based clinical applications into GE PACS radiology reading workflows. The system supports launching advanced visualization applications from the PACS worklist, automatic saving of post-processing sessions to PACS, and context synchronization at exam launch. Completed advanced visualization exams can be automatically pushed to PACS.
FDA Clearance Pathway (510k/De Novo)
The Revolution Ascend Sliding CT system received 510(k) clearance. It was determined to be substantially equivalent to the unmodified predicate device Revolution Ascend (K213938). GE HealthCare also has numerous FDA-authorized AI-enabled solutions.
RSNA/ACR Validation
GE HealthCare showcases its innovations, including AI-enabled imaging systems, at RSNA. The company has presented its Revolution Ascend CT system and its Effortless Workflow at RSNA.
Physician Tip

The Revolution Ascend Sliding system emphasizes an "Effortless Workflow" driven by AI, which can significantly reduce manual tasks and standardize imaging protocols. Physicians should leverage the AI-based auto-positioning and intelligent protocoling features to enhance consistency and efficiency in CT examinations. The TrueFidelity™ imaging technology, powered by deep learning, aims to deliver high-quality images with reduced noise and enhanced sharpness, which can aid in diagnostic confidence. The system's ability to accommodate a wide range of patients, including those with high BMI, due to its 75 cm wide-bore gantry, is also a key consideration for patient access and comfort.

The Revolution Ascend Sliding system is designed for integration within existing radiology ecosystems. It supports DICOM standards for information sharing. Its PACS and AI Orchestration solutions facilitate seamless integration of third-party AI applications into radiology reading workflows. The system allows for launching advanced visualization applications directly from the PACS worklist and automatically pushes completed exams to PACS, streamlining the post-processing and review process.

Details

Category Radiology & Imaging AI
Pricing Unknown
DeploymentOn-premise
Data ExportUnknown
TrainingUnknown
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Cleared AI-estimated
Integrations
EHR Not specified
Specialties Cardiology, Interventional Radiology, Radiology

Support & Reliability

Training ProvidedUnknown

What the Web Says

The GE Healthcare Revolution Ascend Sliding is a head and whole-body CT system designed to improve clinical workflow by allowing imaging and treatment procedures to occur in the same room. It generates cross-sectional images using X-ray transmission data and supports various acquisition modes including Axial, Cine, Helical, Cardiac, and Gated acquisitions. The system received FDA 510(k) clearance in February 2024.

Overall: Positive

Strengths

  • Improved clinical workflow by enabling imaging and treatment in the same room
  • Generates cross-sectional images of the head and whole body
  • Supports multiple acquisition modes (Axial, Cine, Helical, Cardiac, Gated)
  • Maintains identical/equivalent performance and image quality specifications to its predicate device
  • Compliant with relevant medical device standards (IEC 60601-1 Ed. 3.2, NEMA XR25, XR26, XR28, and 21CFR Subchapter J)

Limitations

No significant limitations found in public reviews. Consider checking vendor documentation or requesting a demo for a thorough evaluation.

Based on reviews from: fda.gov, parikhradiology.com, globaldata.com, innolitics.com

Last updated: 2026-10-30

Ratings & Reviews

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Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money

Press & Coverage

businesswire.com
GE Healthcare Introduces Revolution Ascend, a New CT System to Increase Operational Efficiency & Patient Comfort
GE Healthcare unveiled Revolution Ascend with Effortless Workflow, a new CT system featuring AI technologies to automate tasks, increase operational efficiency, and free up clinicians' time for personalized patient care. The system includes a 75 cm wide-gantry, 40 mm detector coverage, and a lower table position to accommodate high BMI patients and trauma cases.
2021-09
24x7mag.com
GE Healthcare Debuts Revolution Ascend CT System
GE Healthcare launched Revolution Ascend with Effortless Workflow, a CT system that uses AI to automate and streamline tasks, featuring a 75 cm wide-gantry, 40 mm detector coverage, and a lower table position for diverse patient accommodation. The system aims to expedite exams and improve patient comfort.
2021-09
medicalalley.org
GE launches new Revolution Ascend CT scanner - Medical Alley
GE Healthcare introduced the Revolution Ascend CT scanner, designed to enhance workflow through AI technology, featuring a 75-cm gantry with 40 mm detector coverage and a lower table position for various patient types. The AI-based 'Effortless Workflow' suite personalizes scans and reduces technologist setup effort.
2021-09
theicecommunity.com
GE Healthcare's new Revolution Ascend platform represents a new platform-based solution with built-in scalability for onsite CT detector upgrades from a highly efficient 20 mm coverage system for routine scanning to a more advanced 40 mm coverage system that improves low contrast detectability.
GE HealthCare's Revolution Ascend platform offers a scalable solution for CT detector upgrades, allowing systems to evolve from 20 mm to 40 mm coverage for improved low contrast detectability without gantry replacement. The platform also introduces True Enhance DL, an AI-based application for enhanced image quality.
2024-05
auntminnie.com
New CT, MR scanners and AI top GE HealthCare highlights at RSNA 2023
At RSNA 2023, GE HealthCare showcased its Revolution Ascend CT scanner, highlighting its ability for onsite detector upgrades from 20 mm to 40 mm coverage to improve low-contrast detectability. The scanner also features True Enhance DL, an AI-based application for generating monochromatic-like images to increase contrast resolution.
2023-12
fda.gov
510(k) Premarket Notification
The FDA's 510(k) Premarket Notification for Revolution Ascend Sliding (K233938) confirms its substantial equivalence to the unmodified Revolution Ascend (K213938). The document details that the Revolution Ascend Sliding CT system can be fully tested on the engineering bench, requiring no additional clinical testing.
2024-02
bmc.com.lb
A New Era in Imaging: BMC Introduces the GE HealthCare CT Revolution Ascend
Bellevue Medical Center announced the installation of Lebanon's first GE HealthCare CT Revolution Ascend, a collaboration aimed at advancing healthcare innovation and enhancing patient experience.
2025-11
fda.gov
510(k) Premarket Notification
The FDA 510(k) Premarket Notification for Revolution Ascend Sliding (K233938) confirms its substantial equivalence to the unmodified Revolution Ascend (K213938). The document indicates that the Revolution Ascend Sliding CT system was fully tested on the engineering bench, eliminating the need for additional clinical testing.
2024-02

Videos

Product demos, reviews, and walkthroughs for Revolution Ascend Sliding.

View all on YouTube

Frequently Asked Questions

Revolution Ascend Sliding incorporates AI-based features, collectively known as Effortless Workflow, to automate and simplify CT tasks. These features include AI-assisted patient positioning with 94% auto-centering accuracy, intelligent protocoling with 90% accuracy, and automated post-processing tools, which can reduce clicks by 66% and save significant time during exams. This allows clinicians to focus more on personalized patient care and helps achieve efficient and precise diagnoses.
Revolution Ascend Sliding is 510(k) cleared and CE marked, indicating its compliance with regulatory standards in the US and EU. The device adheres to standards such as IEC 60601-1 Ed. 3.2, NEMA XR25, XR26, XR28, and 21 CFR Subchapter J. Its AI components, such as TrueFidelity CT Images, are generated using a dedicated deep neural network and are part of the cleared system.
While offering advanced features, the Revolution Ascend Sliding, particularly in its standard configurations, may not provide the wide-coverage, one-beat cardiac performance of higher-end systems like the Revolution CT. The time-saving benefits of its AI features may also vary depending on the specific clinical practice and institution.
Within GE Healthcare's Revolution family, alternatives include the Revolution CT and Revolution Apex, which are flagship systems offering advanced capabilities like 256-slice scanning and 16 cm coverage for specialized applications such as whole-heart imaging. For general radiology and routine cardiac CT, the 64 or 128-slice Revolution EVO, Maxima, or Ascend models are also available.
New Revolution Ascend systems generally range from $625,000 to $1,650,000, depending on the configuration. Refurbished models can range from $350,000 to $625,000 for 128-slice configurations. The system is scalable and available in various configurations (e.g., 20mm or 40mm detector coverage, 32 to 128 slices), allowing for upgrades as clinical needs evolve.
The AI in Revolution Ascend Sliding, particularly TrueFidelity CT Images generated by a deep neural network, aims to improve image clarity, sharpness, and noise texture, enhancing reading confidence across various clinical applications. This is achieved while maintaining low dose levels, and the system can reduce image noise by up to 91% at the same dose and improve spatial resolution up to 2x.
Yes, the Effortless Workflow applications and other advanced AI features found on Revolution Ascend can be offered as an upgrade to existing GE Healthcare CT systems. Additionally, these features can be accessed through a Smart Subscription, an Edison service, which provides access to the latest CT device software across a hospital system's entire CT fleet.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-18 | First Added: 2026-04-18
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