A5081354457- Surgical Simulation and Training
- Anatomy and Medical Technology
- Colorectal Cancer Surgical Treatments
- Artificial Intelligence in Healthcare and Education
- Renal cell carcinoma treatment
- Augmented Reality Applications
- Cardiac, Anesthesia and Surgical Outcomes
- Advanced X-ray and CT Imaging
- Medical Imaging and Analysis
- Organ Donation and Transplantation
- Pediatric Urology and Nephrology Studies
- Lung Cancer Diagnosis and Treatment
ORSI Academy
2022-2024
Several barriers prevent the integration and adoption of augmented reality (AR) in robotic renal surgery despite increased availability virtual three-dimensional (3D) models. Apart from correct model alignment deformation, not all instruments are clearly visible AR. Superimposition a 3D on top surgical stream, including instruments, can result potentially hazardous situation. We demonstrate real-time instrument detection during AR-guided robot-assisted partial nephrectomy show generalization...
The integration of Augmented Reality (AR) into daily surgical practice is withheld by the correct registration pre-operative data. This includes intelligent 3D model superposition whilst simultaneously handling real and virtual occlusions caused AR overlay. Occlusions can negatively impact safety as such deteriorate rather than improve care. Robotic surgery particularly suited to tackle these challenges in a stepwise approach robotic console allows for different inputs be displayed parallel...
Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to decision support systems. Nowadays, learning-based approaches outperform classical methods, relying, however, on large, annotated datasets. Furthermore, algorithms often trained make predictions isolation each other, without exploiting potential cross-task relationships. With the EndoVis 2022 SAR-RARP50 challenge, we...
Objective: Develop a pioneer surgical anonymization algorithm for reliable and accurate real-time removal of out-of-body images, validated across various robotic platforms. Summary Background data / Background: The use video has become common practice in enhancing research training. Video sharing requires complete anonymization, which, the case endoscopic surgery, entails all nonsurgical frames where endoscope can record patient or operating room staff. To date, no openly available...
(1) Background: Surgical phases form the basic building blocks for surgical skill assessment, feedback, and teaching. The phase duration itself its correlation with clinical parameters at diagnosis have not yet been investigated. Novel commercial platforms provide indications but assessed accuracy yet. (2) Methods: We 100 robot-assisted partial nephrectomy videos durations based on previously defined proficiency metrics. developed an annotation framework subsequently compared our annotations...
(1) Background: Surgical phases form the basic building blocks for surgical skill assessment, feedback and teaching. Phase duration itself its correlation to clinical parameters has not yet been investigated. Novel commercial platforms provide phase indications but have assessed accuracy yet. (2) Methods: We assess 100 robot-assisted partial nephrectomy videos based on previously defined proficiency metrics. develop an annotation framework subsequently compare our annotations existing...
The integration of Augmented Reality (AR) into daily surgical practice is withheld by the correct registration pre-operative data. This includes intelligent 3D model superposition whilst simultaneously handling real and virtual occlusions caused AR overlay. Occlusions can negatively impact safety as such deteriorate rather than improve care. Robotic surgery particularly suited to tackle these challenges in a stepwise approach robotic console allows for different inputs be displayed parallel...