SGNIO
Multi-loop feedback puncture
interventional surgical control system
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IPGM
The operation planning software can realize the visualization processing and analysis of CT images, including the visualization of CT images in three directions, three-dimensional digital human body and CT image fusion display, manual and automatic annotation of organs in CT images, automatic segmentation of multiple organs, manual puncture path planning and other functions.
ICNM
ICNM functions as the information distribution hub, data center, and control center in the SGNIO system. It features centrally controlled software developed by Hanglok, providing the surgeon with intraoperative force sensing data, optical positioning information, and real-time ultrasound images. It offers multiple interaction modes, enabling real-time control of the robotic arm and real-time adjustments to the surgical plan based on real-time sensory information.
OTTM
OTTM plays the role of the “eyes” in SGNIO. Equipped with navigation and positioning software developed by Hanglok Technology, it enables the identification and localization of optical markers on the patient's body surface and at the end of the robotic arm. It also performs automatic and rapid registration of the surgical spatial coordinate system.
SIEM
SIEM serves as the execution component for surgical planning in the SGNIO, functioning as the "hand" of the system. It comprises a robotic arm and an end-effector module. The end-effector module, designed by Hanglok, integrates force sensing, optical sensing, an ultrasound system, and a needle insertion channel. As the only component in direct contact with the patient, it performs tasks such as aligning the ultrasound probe, positioning the needle path, and fine-tuning the surgical plan during the procedure.
  • MULTI-LOOP FEEDBACK
  • interactive perception
  • HUMANOID INTELLIGENCE
  • Median puncture
    accuracy
    2.1mm
  • the first-attempt
    success rate
    87.5%
  • Average of
    adjustments
    1.14±0.43s
  • Average of
    CT scans
    <3 times
High Intervention Efficiency and Accuracy of SGNIO
  • Clinical data
    132
  • Puncture error
    2.1mm
    vs
    5
  • First-attempt success rate
    87.5%
    vs
    38.1%
  • Number of cases enrolled per center per month
  • First-attempt success rate
  • Average times of punctures
cross-layer puncture path planning
Preoperative virtual surgery simulation
Generation of organs and tumor edges with AI
Intelligent US probe optimal positioning
Sense the spatial position of the optical marker in real time
Abnormal movement detection
Refer to spatial position in real time
UIAM
Soft drag module
Near-infrared optical positioning
Respiratory gate indicator
Multi-dimensional adaptive channel
Needle entry channel 1
Real-time control interface
under US/CT fusion navigation
Voice control
4 x 1 Force sensor
UIAM
Soft drag module
Near-infrared optical positioning
Respiratory gate indicator
Multi-dimensional adaptive channel
Needle entry channel 1
Real-time control interface under
US/CT fusion navigation
Voice control
4 x 1 Force sensor
UIAM
US probe
Needle entry channel 2
Fine-tune needle postures in real time
UIAM
US probe
Needle entry channel 2
Fine-tune needle postures in real time
Multi-sense information perception
interactive perception
Clinicians adjust the position of the US probe during operation
humanoid intelligence