Auto Positioning

by GE HealthCare  · Based in China → — We're creating a world where healthcare has no limits. We believe the future of healthcare is precise, personal, and connected - and build integrated solutions to help solve for the industry's greatest challenges to enable better outcomes and improve the lives of patients and clinicians.
Radiology

Regulatory Status Disclosed

Overview

Auto Positioning is an advanced AI-based feature developed by GE Hangwei Medical Systems for integration with GE Computed Tomography (CT) systems. This innovative technology leverages a 2D/3D video camera and deep learning algorithms to automate and streamline the patient positioning process for CT examinations.

The system works by deterministically producing a 3D surface contour map of the patient’s body, detecting anatomical landmarks, and identifying patient orientation. Based on this data and the selected imaging protocol, Auto Positioning automatically calculates and adjusts the CT table elevation for optimal centering, and visually displays scout scan start and end locations.

Key benefits include significant workflow improvement through minimizing manual positioning actions, consistent image quality by auto-centering, and optimized radiation dose. Furthermore, it enhances patient safety by detecting potential patient-gantry collisions and identifying patient orientation mismatches, which helps prevent incorrect image annotation.

It is important to note that this tool is a medical device feature for imaging systems and is not an AI tool for a physician directory.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-based deep learning for anatomical landmark detection
  • 3D camera for patient body contour mapping and depth information
  • Automated patient centering and table elevation calculation
  • Patient orientation identification and mismatch warnings
  • Patient-gantry collision check for enhanced safety
  • Streamlined workflow with single-click operation
  • Reduced patient positioning time
  • Consistent image quality and optimized radiation dose
  • Integration with GE CT systems
  • Automated scout scan start and end locations

Use Cases

  • Automating patient setup for CT examinations
  • Improving workflow efficiency in radiology departments
  • Enhancing patient safety during CT scans
  • Ensuring consistent image quality across different operators
  • Reducing radiation dose through optimized centering
  • Minimizing medical errors related to incorrect patient orientation

What Physicians Need to Know

Supported Modalities
CT, PET/CT, X-ray, Ultrasound (for specific features like Auto Nipple Detection and Auto Measure).
AI Model Architecture (deep learning approach)
Auto Positioning utilizes deep learning algorithms to detect anatomical landmarks and determine patient orientation. It employs two deep learning algorithms with different inputs that produce comparable outputs to identify eight anatomical landmarks. The system also uses a 3D camera to detect depth information for auto-centering and patient-gantry collision checks.
Reading Room Workflow Impact
Auto Positioning aims to improve workflow by minimizing patient positioning actions to a single click, potentially reducing positioning time significantly compared to manual operations. It helps achieve consistent image quality through auto-centering and reduces the technologist's cognitive and physical workload. For X-ray, it can lead to fewer repeat exams and positioning errors. In ultrasound, features like AI Auto Measure automate caliper placement, reducing repetitive tasks and inter-operator variability, leading to faster exam completion and auto-populated structured reports.
FDA Clearance Pathway (510k/De Novo)
GE HealthCare has received numerous 510(k) clearances for its AI-enabled medical devices, including those with auto-positioning features.
DICOM Support & Standards
GE HealthCare products generally support DICOM standards for sharing information. DICOM Conformance Statements are available for customers to assess product capabilities. For CT head imaging, Head Auto Views can automatically network reformatted series to prescribed DICOM destinations.
PACS Integration Method
GE HealthCare offers PACS integration for its advanced visualization (AW) server, allowing the launch of AW applications from PACS or RIS worklists, seamless login, context synchronization, and automatic pushing of completed exams to PACS. True PACS, GE HealthCare's enterprise diagnostic imaging solution, offers seamless AI integration and a flexible, standards-based architecture for connectivity with RIS, CVIS, and EMR systems.
Physician Tip

Leverage Auto Positioning to standardize patient setup, which can lead to more consistent image quality and potentially reduce variability in diagnostic reads. The automated features can free up technologist time, allowing for more focus on patient comfort and throughput. For ultrasound, AI Auto Measure can significantly reduce the time spent on repetitive measurements, allowing for quicker report generation and potentially improving reproducibility of results. Ensure proper protocol selection to maximize the benefits of automated positioning and consider how the reduced physical strain on technologists can impact overall department morale and efficiency.

GE HealthCare's Auto Positioning is integrated within its imaging systems, such as CT (Revolution Ascend, Revolution Maxima, Photonova Spectra, Revolution Apex platform), PET/CT (Omni Legend), and X-ray (Definium 656 HD, Definium Pace Select ET). It is part of broader 'Effortless Workflow' solutions that include other AI-based and automated features like Intelligent Protocoling and automated post-processing tools. The system integrates with a 3D camera for accurate patient centering and collision checks. GE HealthCare's True PACS solution also offers seamless AI integration.

Details

Category Radiology & Imaging AI
Pricing Unknown
DeploymentOn-premise, cloud-first (for new hospital operations software)
Mobile AppYes (Vscan Air SL handheld ultrasound with Caption AI technology)
TrainingUnknown
Compliance
BAA Available Yes AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Cleared AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Radiology

Support & Reliability

Training ProvidedUnknown

What the Web Says

GE HealthCare's "Auto Positioning" technology, often AI-based and utilizing 3D cameras, is designed to streamline patient setup in medical imaging, particularly for CT and PET/CT scans. It aims to improve workflow efficiency, enhance image quality, and reduce the need for manual adjustments, thereby freeing up technologists to focus more on patient care. The system automatically detects anatomical landmarks and centers the patient, which can lead to more consistent results and potentially lower radiation doses.

Overall: Positive

Strengths

  • Improved workflow efficiency and reduced setup time due to automated patient positioning.
  • Enhanced consistency in image quality by automatically centering the patient.
  • Potential for reduced radiation dose by optimizing patient positioning and minimizing mis-centering.
  • Frees up technologists to focus more on patient comfort and care.
  • Minimizes positioning actions to a single-click operation, reducing manual steps by up to 80%.
  • Reduces medical errors through patient orientation identification and patient-gantry collision checks.

Limitations

  • One Reddit user mentioned that automated detente rooms (which include auto-positioning) can break frequently.
  • The accuracy of auto-positioning cameras may require recalibration to maintain optimal performance.
  • Some older discussions on Reddit suggest skepticism about the full automation of radiographer roles, implying that current auto-positioning might not fully eliminate the need for skilled human oversight.
  • The technology's effectiveness relies on precise patient positioning at the gantry iso-centre, and inconsistencies can detrimentally affect radiation dose and image quality.

Based on reviews from: stocktitan.net, nasdaq.com, financialpost.com, reddit.com, industryresearch.biz, healthmanagement.org, scene7.com, gehealthcare.com, mpo-mag.com, interventionalnews.com, healthcare-in-europe.com, ncdhhs.gov, researchgate.net, csu.edu.au, myesr.org

Last updated: 2026-10-30

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Press & Coverage

gehealthcare.com
GE HealthCare drives growth with investment in AI-enabled medical devices and tops FDA's list of AI authorizations for 4th Year with 100
GE HealthCare has once again led the FDA's list of AI-enabled medical device authorizations for the fourth consecutive year, reaching 100 authorizations. This milestone highlights the company's commitment to AI-powered innovation to enhance precision care and streamline workflows.
2025-07
gehealthcare.com
GE HealthCare launches new advanced digital X-ray system to enable access and increase efficiency in high throughput settings
GE HealthCare introduced the Definium Pace Select ET, a new digital X-ray system designed to automate manual tasks and reduce physical strain for technologists. The system uses AI for accurate patient positioning and consistent image quality, aiming to improve workflow efficiency and patient throughput.
2025-07
gehealthcare.com
GE HealthCare and NVIDIA reimagine diagnostic imaging with autonomous X-ray and ultrasound solutions
GE HealthCare announced a collaboration with NVIDIA to advance autonomous imaging, focusing initially on autonomous X-ray technologies and ultrasound applications. This partnership aims to develop smarter, more automated solutions to enhance efficiency and standardize imaging.
2025-03
gehealthcare.com
AI-based Auto Positioning
This report describes GE HealthCare's AI-based Auto Positioning function, which uses AI technology and a 3D camera to automatically detect anatomical landmarks. This minimizes positioning actions to a single click, reducing the time for patient positioning by 80% compared to manual operations.
2021-02
appliedradiology.com
GE Introduces New CT System with AI Technologies for Workflow Efficiency
GE Healthcare's new Revolution Ascend CT system features AI technologies to automate and simplify time-consuming tasks, improving operational efficiency. The system's Effortless Workflow suite includes AI-based features like Auto Positioning for accurate patient centering.
2021-09
theicecommunity.com
GE Healthcare AI-Based Auto Positioning for CT - ICE
GE Healthcare's AI-based Auto Positioning for CT is designed to expedite patient throughput and minimize exposure between staff and patients, particularly relevant during the COVID-19 pandemic. This one-click, hands-free positioning is available on the Revolution Maxima CT system.
2020-07
theicecommunity.com
Revolution Maxima CT System
The Revolution Maxima CT system aims to simplify and automate CT workflows with its AI-based Auto Positioning feature. This technology helps prevent patient mispositioning, which can lead to increased radiation dose and image noise, by centering the patient faster with a single click.
2020-05
gehealthcare.com
GE HealthCare's Photonova™ Spectra with Deep Silicon
GE HealthCare's Photonova™ Spectra with Deep Silicon includes Auto Positioning to help improve workflow efficiency. This technology is part of their efforts to advance molecular imaging.
2025-11

Videos

Product demos, reviews, and walkthroughs for Auto Positioning.

View all on YouTube

Frequently Asked Questions

GE Healthcare's Auto Positioning utilizes AI technology and a high-accuracy 3D camera to automate patient positioning in CT and X-ray systems. It detects anatomical landmarks using deep learning algorithms, calculates the required table elevation to align the scan range with the system's isocenter, and can even identify patient orientation to prevent errors.
Auto Positioning offers several benefits, including improved workflow efficiency by minimizing positioning actions to a single click, reducing patient positioning time, and decreasing physical strain on technologists. It also aims to provide consistent image quality by optimizing patient centering, which can lead to reduced radiation dose and image noise, and helps prevent errors like incorrect patient orientation.
While the provided information highlights the technical aspects and benefits of GE Healthcare's Auto Positioning, it does not explicitly detail specific compliance or regulatory certifications (e.g., FDA clearance, CE marking) for the AI component itself across all markets. However, some GE Healthcare systems incorporating Auto Positioning are noted to be 510(k) cleared in the U.S. and CE marked in certain regions, implying adherence to relevant medical device regulations for the overall system.
The provided information focuses on GE Healthcare's own Auto Positioning technology, primarily within their Definium X-ray and Revolution CT systems. While the concept of automated positioning exists across the industry, specific comparisons to alternative products from other vendors are not detailed in the provided search results. Auto Positioning is described as an advancement over basic auto-tracking features found in some X-ray systems.
Auto Positioning supports specific anatomical references (e.g., Orbital Meatal baseline, Sternoclavicular Notch, Xyphoid, Iliac Crest, Knee, Ankle Joint) and relies on these for landmark detection. While designed to improve accuracy, the visual display of scout start and stop locations still requires confirmation by the operator. The effectiveness of time-saving may also vary depending on clinical practice at different institutions.
Auto Positioning aims to optimize radiation dose and image quality by ensuring accurate patient centering. Studies have shown that automated positioning with a 3D camera significantly improves patient centering compared to manual methods, reducing off-center distances and potentially leading to a reduction in radiation dose and image noise.
GE Healthcare's Auto Positioning is designed to integrate into the existing radiology workflow, streamlining tasks from pre-scan protocoling to post-scan processing. It can reduce clicks and positioning time, and systems like True PACS are built to easily integrate with AI-enabled tools, including those that assist with workflow and image viewing. Some systems also allow for images to be auto-rotated to save time for reading radiologists before sending to PACS.

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