Omnidirectional. Real-Time. Autonomous Navigation Intelligence
Perceive. Decide. Act. Mastering Complex Environments with Proactive, Safe Precision.
It is built upon a deep learning model that creates a digital twin imaging environment, enabling autonomous navigation for precise cardiac access.
Intelligent
Recognition +
Real-Time Feedback
Recognition +
Real-Time Feedback
Automatically determines the
spatial relationship between
the catheter and the target
anatomical view
spatial relationship between
the catheter and the target
anatomical view
Self-Adaptive
Update
Update
Continuously optimizes performance
through global model updates,
generating new intra-operative strategies.
The entire process operates without
relying on additional positioning sensors
(e.g., EM sensors), utilizing pure
ultrasound guidance.
through global model updates,
generating new intra-operative strategies.
The entire process operates without
relying on additional positioning sensors
(e.g., EM sensors), utilizing pure
ultrasound guidance.
Proactive
Decision-Making
Decision-Making
Calculate the optimal knob
manipulation and catheter
movement path
manipulation and catheter
movement path
Precision Guidance
Human-computer interaction
continuously guides directly
to the target field of view
continuously guides directly
to the target field of view
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