Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition
Purpose One of the recent advances in surgical AI is the recognition of surgical activities as
triplets of⟨ instrument, verb, target⟩. Albeit providing detailed information for computer …
triplets of⟨ instrument, verb, target⟩. Albeit providing detailed information for computer …
Phase-specific augmented reality guidance for microscopic cataract surgery using spatiotemporal fusion network
Phacoemulsification cataract surgery (PCS) is a routine procedure conducted using a
surgical microscope, heavily reliant on the skill of the ophthalmologist. While existing PCS …
surgical microscope, heavily reliant on the skill of the ophthalmologist. While existing PCS …
Advances of surgical robotics: image-guided classification and application
Surgical robotics application in the field of minimally invasive surgery has developed rapidly
and has been attracting increasingly more research attention in recent years. A common …
and has been attracting increasingly more research attention in recent years. A common …
Imitation learning from expert video data for dissection trajectory prediction in endoscopic surgical procedure
J Li, Y Jin, Y Chen, HC Yip, M Scheppach… - … Conference on Medical …, 2023 - Springer
High-level cognitive assistance, such as predicting dissection trajectories in Endoscopic
Submucosal Dissection (ESD), can potentially support and facilitate surgical skills training …
Submucosal Dissection (ESD), can potentially support and facilitate surgical skills training …
OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery
In the realm of automated robotic surgery and computer-assisted interventions,
understanding robotic surgical activities stands paramount. Existing algorithms dedicated to …
understanding robotic surgical activities stands paramount. Existing algorithms dedicated to …
Think step by step: Chain-of-gesture prompting for error detection in robotic surgical videos
Despite advancements in robotic systems and surgical data science, ensuring safe
execution in robot-assisted minimally invasive surgery (RMIS) remains challenging. Current …
execution in robot-assisted minimally invasive surgery (RMIS) remains challenging. Current …
CathAction: A Benchmark for Endovascular Intervention Understanding
Real-time visual feedback from catheterization analysis is crucial for enhancing surgical
safety and efficiency during endovascular interventions. However, existing datasets are …
safety and efficiency during endovascular interventions. However, existing datasets are …
Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer
Purpose This study aimed to classify laparoscopic gastric cancer phases. We also aimed to
develop a transformer-based artificial intelligence (AI) model for automatic surgical phase …
develop a transformer-based artificial intelligence (AI) model for automatic surgical phase …
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver
Pringle maneuver (PM) in laparoscopic liver resection aims to reduce blood loss and
provide a clear surgical view by intermittently blocking blood inflow of the liver, whereas …
provide a clear surgical view by intermittently blocking blood inflow of the liver, whereas …
Free-DyGS: Camera-Pose-Free Scene Reconstruction based on Gaussian Splatting for Dynamic Surgical Videos
Reconstructing endoscopic videos is crucial for high-fidelity visualization and the efficiency
of surgical operations. Despite the importance, existing 3D reconstruction methods …
of surgical operations. Despite the importance, existing 3D reconstruction methods …