EndoAngel Products · EUS

EUS AI Assistant

Real-time pancreas segmentation, bile duct annotation, and station recognition during endoscopic ultrasound — helping endoscopists navigate complex EUS anatomy with confidence.

EndoAngel EUS AI assistant in clinical use

Real-time

Pancreas Boundary
Delineation

Auto

CBD Identification
& Tracking

<40ms

Inference
Latency

CE / NMPA

Certified

Core Capabilities

Key Features

🔬

Pancreas Segmentation

Real-time boundary delineation of the pancreas with validated accuracy across diverse patient anatomy.

🔴

Bile Duct Annotation

Automatic common bile duct (CBD) identification and real-time tracking to support ERCP planning.

🏥

Station Recognition

Automatic EUS station identification guiding systematic examination workflow and ensuring complete survey.

🎓

Trainee Support

Reduces the learning curve for EUS trainees by providing real-time anatomical guidance and orientation.

Pancreas & Bile Duct

Real-time Anatomical Annotation

EndoAngel EUS AI automatically delineates the pancreas boundary and tracks the common bile duct in real-time — overlaid directly on the live EUS image feed.

  • High-accuracy pancreas segmentation validated in multi-center study
  • CBD tracking supports systematic EUS examination
  • Assists both experienced endoscopists and trainees
  • Works with standard EUS equipment via HDMI pass-through
EndoAngel EUS AI pancreas segmentation with precise boundary annotation during endoscopic ultrasound

Technical Specifications

Supported anatomyPancreas, bile duct, vessels
Inference latency<40ms per frame
DisplayReal-time overlay annotation
Connection methodHDMI pass-through
AI model updatesOTA via secure connection
CertificationsNMPA · CE Mark

Clinical Evidence

  • Pancreas segmentation: peer-reviewed multi-center validation
  • Bile duct annotation: validated in multi-center study
  • Reduces learning curve for EUS trainees
  • Supports systematic EUS with automatic station recognition

Explore EUS AI at Your Center

Contact us to arrange a demonstration of the EUS AI Assistant.