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Journal: The international journal of medical robotics + computer assisted surgery : MRCAS


BACKGROUND: The da Vinci robotic surgical telemanipulator has been utilized in several surgical specialties for varied procedures, and the users' experiences have been widely published. To date, no detailed system technical analyses have been performed. METHODS: A detailed review was performed of all publications and patents about the technical aspects of the da Vinci robotic system. RESULTS: Published technical literature on the da Vinci system highlight strengths and weaknesses of the robot design. While the system facilitates complex surgical operations and has a low malfunction rate, the lack of haptic (especially tactile) feedback and collisions between the robotic arms remain the major limitations of the system. Accurate, preplanned positioning of access ports is essential. CONCLUSION: Knowledge of the technical aspects of the da Vinci robot is important for optimal use. We confirmed the excellent system functionality and ease of use for surgeons without an engineering background. Research and development of the surgical robot has been predominant in the literature. Future trends address robot miniaturization and intelligent control design. Copyright © 2012 John Wiley & Sons, Ltd.

Concepts: Surgery, Physician, Academic publishing, Control theory, Robotic surgery, The Da Vinci Code, Da Vinci Surgical System, Intuitive Surgical


BACKGROUND: While single-port laparoscopy for abdominal surgery is technically challenging, the Da Vinci Single-Site® robotic surgery platform may help to overcome some of the difficulties of this rapidly evolving technique. The authors of this article present a case of single-incision, robotic right colectomy using this device. METHODS: A 74-year-old female with malignant polyp of caecum was operated on with a single-site approach using the Da Vinci Single-Site® robotic surgery device. Resection and anastomosis were performed extra-corporeally after undocking the robot. RESULTS: The procedure was successfully completed in 200 min. No surgical complications occurred during the intervention and the post-operative stay and no conversion to laparotomy or additional trocars were required. CONCLUSIONS: To the best of our knowledge, this is the first case of right colectomy using the Da Vinci Single-Site® robotic surgery platform to be reported. The procedure is feasible and safe and its main advantages are restoration of triangulation and reduced instrument clashes. Copyright © 2013 John Wiley & Sons, Ltd.

Concepts: Surgery, John Wiley & Sons, Laparoscopic surgery, Greatest hits, Laparotomy, Robotic surgery, The Da Vinci Code, Leonardo da Vinci


The purpose of this study was to compare short- and long-term outcomes of modified robot-assisted duodenum-preserving pancreatic head resection (RA-DPPHR) versus robot-assisted pancreaticoduodenectomy (RA-PD).

Concepts: Pancreas, Pancreatic cancer, Hedge fund, Pancreaticoduodenectomy


The distribution, utilisation and accessibility of surgical robotics in England is unknown.


Thoracoabdominal esophagectomy with lymphadenectomy is the cornerstone of curative therapy for esophageal carcinoma. To reduce postoperative morbidity, minimally invasive technology has become increasingly established. Conventional thoraco-laparoscopic procedures, however, are limited by their technical feasibility. These limitations can be overcome using robot-assisted technology.


Training surgeons to use surgical robots is becoming part of surgical training curricula. We propose a novel method of training fine-motor skills such as Microscopic Selection Task (MST) for robot-assisted surgery using Virtual Reality with objective quantification of performance. We also introduce Vibrotactile Feedback (VTFB) to study its impact on training performance.



During minimally invasive (either robotic or traditional laparoscopic) surgery, vascular injuries may occur because of inadvertent surgical tool movements or actions. These vascular injuries can lead to arterial or venous bleeding with varying degrees of severity that may be life-threatening. In this paper, we present a novel local-entropy-based image processing algorithm that has the potential to detect spurts of blood and locate their source in real-time. Given that a bloody spot is characterized by homogenous and uniform texture, the algorithm automatically scans the entire surgical video frame by frame using a local entropy filter to segment each image into different regions. By comparing changes in entropy in the frames over time, the algorithm detects the moment of bleeding occurrence and its pixel location. We preliminarily test the algorithm using 10 minimally-invasive-surgery videos, each of which contains one surgical-tool-induced bleeding. Our results show that the algorithm can detect bleeding within 0.635 seconds, on average, after their occurrences and locate the bleeding sources within, on average, 2.5% of discrepancy in pixels from their origins. This article is protected by copyright. All rights reserved.



Cystoscopy plays an important role in the diagnosis of bladder tumors. As a typical representative of the deep learning algorithm, the convolutional neural network has shown great advantages in the field of image recognition and segmentation.