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Clinical Benefits
Scientific Reference

Designed for Seamless Workflow

uAI Vision is an advanced AI-guided 3D scan navigation technology designed to optimize CT examination workflows. By streamlining the clinical workflow, uAI Vision enhances efficiency and significantly reducing the learning curve for technologists, empowering consistent, high-quality imaging across a wide range of clinical scenarios.

Simplified Tasks, Amplified Care

uAI Vision reduces manual interactions by over 60% compared to traditional workflows. By reducing manual steps, it helps provide consistent and high-quality imaging, which supports precise clinical diagnosis.

Comprehensive Training Data

Over 5 million training data
uAI Vision is trained on a large and diverse dataset, encompassing a wide range of body types, ethnicities, and age groups. To further enhance its robustness, the training datasets also includes challenging scenarios—such as patients wearing clothing or masks, and varying lighting conditions—enabling the system to perform reliably across different practical situations.

Easy Positioning

Patient Position Identification

Intelligently identifying 8 patient positions.

Precise Recognition

Automatic detection of 19 anatomical landmarks.

Broadly Versatile

Designed to match various scanning protocols and clinical scenarios.

Real-time Response

Real-time tracking and adjustment of the scan range during patient positioning.

Easy ISO

95% of examinations are not center positioning, leads to
18% increase in peripheral dose
6% increase in quantitative image noise

*Li, Jianhai et al. "Automatic patient centering for MDCT: effect on radiation dose." AJR. American journal of roentgenology vol. 188,2 (2007): 547-52. doi:10.2214/AJR.06.0370

Detects subtle details of human anatomy, such as body contour and anthropometric parameters, to construct a comprehensive 3D digital model for precise patient positioning.

Converts 3D modeling and depth information into the scanner coordinate system to align the table height with ISO-center positioning.
Why ISO-center positioning matters*

95% of examinations are not center positioning, leads to
18% increase in peripheral dose
6% increase in quantitative image noise

*Li, Jianhai et al. "Automatic patient centering for MDCT: effect on radiation dose." AJR. American journal of roentgenology vol. 188,2 (2007): 547-52. doi:10.2214/AJR.06.0370
3D Modeling

Detects subtle details of human anatomy, such as body contour and anthropometric parameters, to construct a comprehensive 3D digital model for precise patient positioning.

ISO-center Positioning

Converts 3D modeling and depth information into the scanner coordinate system to align the table height with ISO-center positioning.

Easy Range

Automatically recommends tailored scan ranges based on selected protocols. By precisely defining the scan area, it streamlines clinical workflows, supports a board range of protocols, and helps maintain low radiation dose.

It can also be used in combination with Online MPR, further enhancing clinical workflow by eliminating the need for manual adjustments of the MPR range across different series within the same protocol.

Patient Scanning

Automatically recommends tailored scan ranges based on selected protocols. By precisely defining the scan area, it streamlines clinical workflows, supports a board range of protocols, and helps maintain low radiation dose.

Image Reconstruction

It can also be used in combination with Online MPR, further enhancing clinical workflow by eliminating the need for manual adjustments of the MPR range across different series within the same protocol.

In a study consisted of 700 cases, Easy Positioning accurately established the positioning lines in 642 instances, achieving a 91.7% success rate. Easy Range got the accurate scanning range in 660 cases, achieving 94.3% success rate. All images (100%) had high quality for reviewing.

——< Health Protection of CT Radiographers During the Outbreak of COVID-19: Application of Automatic Positioning Technology for Relocatable CT in the Fang Cang Hospital>
Front. Med(2021)

uAI Vision can intelligently recognize the patient's face and body surface and accurately locate the scanning range of the chest, even if the patient is wearing a mask. It can simultaneously automatically adjust the scanning table to the optimal position depending on the scanning target.

——< Infection Control for CT Equipment and Radiographers' Personal Protection during the Coronavirus Disease (COVID-19) Outbreak in China>
American Journal of Roentgenology(2020)

In a study involving 1,186 lung screening cases, uAI Vision demonstrated superior accuracy in determining the optimal scan range compared to semi-automated or manual methods. By eliminating unnecessary scan areas, it achieved a 29% reduction in radiation dose.

——< Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care>
EbioMedicine(2020)