Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Gesture recognition in robotic surgery with multimodal attention
B Van Amsterdam, I Funke, E Edwards… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Automatically recognising surgical gestures from surgical data is an important building block
of automated activity recognition and analytics, technical skill assessment, intra-operative …
of automated activity recognition and analytics, technical skill assessment, intra-operative …
Video-instrument synergistic network for referring video instrument segmentation in robotic surgery
H Wang, G Yang, S Zhang, J Qin, Y Guo… - … on Medical Imaging, 2024 - ieeexplore.ieee.org
Surgical instrument segmentation is fundamentally important for facilitating cognitive
intelligence in robot-assisted surgery. Although existing methods have achieved accurate …
intelligence in robot-assisted surgery. Although existing methods have achieved accurate …
Sar-rarp50: Segmentation of surgical instrumentation and action recognition on robot-assisted radical prostatectomy challenge
Surgical tool segmentation and action recognition are fundamental building blocks in many
computer-assisted intervention applications, ranging from surgical skills assessment to …
computer-assisted intervention applications, ranging from surgical skills assessment to …
Micro-surgical anastomose workflow recognition challenge report
Abstract Background and Objective: Automatic surgical workflow recognition is an essential
step in developing context-aware computer-assisted surgical systems. Video recordings of …
step in developing context-aware computer-assisted surgical systems. Video recordings of …
Evaluating the task generalization of temporal convolutional networks for surgical gesture and motion recognition using kinematic data
K Hutchinson, I Reyes, Z Li… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Fine-grained activity recognition enables explainable analysis of procedures for skill
assessment, autonomy, and error detection in robot-assisted surgery. However, existing …
assessment, autonomy, and error detection in robot-assisted surgery. However, existing …
Latent graph representations for critical view of safety assessment
Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate
identification and localization of key anatomical structures, reasoning about their geometric …
identification and localization of key anatomical structures, reasoning about their geometric …
A surgeon preference-guided autonomous instrument tracking method with a robotic flexible endoscope based on dVRK platform
In minimally invasive surgery, endoscopes serve as the eyes of surgeon. To avoid fatigue in
manual endoscope steering, robotic endoscope holders have been developed …
manual endoscope steering, robotic endoscope holders have been developed …
Integrating artificial intelligence and augmented reality in robotic surgery: An initial dvrk study using a surgical education scenario
Robot-assisted surgery has become progressively more and more popular due to its clinical
advantages. In the meanwhile, the artificial intelligence and augmented reality in robotic …
advantages. In the meanwhile, the artificial intelligence and augmented reality in robotic …
Cross-modal self-supervised representation learning for gesture and skill recognition in robotic surgery
Purpose Multi-and cross-modal learning consolidates information from multiple data sources
which may offer a holistic representation of complex scenarios. Cross-modal learning is …
which may offer a holistic representation of complex scenarios. Cross-modal learning is …