Showing posts with label robotic. Show all posts
Showing posts with label robotic. Show all posts

Monday, 11 October 2021

A Systemic Review on Robotic Versus Laparoscopic Adrenalectomy | New Visions in Science and Technology Vol. 5

 Background: For most surgical procedures, minimally invasive surgery has become the norm. Many research have been conducted to compare robotic and laparoscopic adrenalectomy.   The goal of this study is to look at the majority of the papers that compare robotic and laparoscopic adrenalectomy to see whether treatment has better clinical outcomes. Methods: A comprehensive search of the ScienceDirect and PubMed databases. Two independent reviewers gathered the perioperative clinical results. The pooled effect estimates were calculated using random-effects (DerSimonian-Laird) models.   In our investigation, 18 studies were found to be eligible. Ten of them were prospective, while the other eight were retrospective. A total of 1376 patients underwent adrenalectomy, with 592 (43.02%) receiving RA treatment and 784 (56.9%) receiving LA treatment. The conversion rate (OR: 0.70, 95 percent CI 0.31-1.57, P= 0.65), intraoperative complications (OR: 2.18, 95 percent CI 0.49- 9.71, P= 0.28), post-operative complications (OR: 0.83, 95 percent CI 0.55-1.24, P= 0.49), and mortality (OR: 0.42, 95 percent CI 0.07-2.72, P= 0.98) were all similar in both groups. Robotic adrenalectomy, on the other hand, was related with longer operational times (MD: 9.89 min, 95 percent CI: -2.79 to 22.58), a shorter hospital stay (MD: -0.33, 95 percent CI: -0.46 to -0.21), and less blood loss (MD: -0.33, 95 percent CI: -0.46 to -0.21). (MD: -25.34, 95 percent CI: -36.77 to -13.91). Conclusions: When compared to laparoscopic adrenalectomy, we found that robotic adrenalectomy is equally safe and feasible, with similar clinical outcomes. To assess the role and cost-effectiveness of robotic adrenal surgery, however, further well-designed research are needed.

Author (S) Details

Emad Rezkallah

General Surgery Department, James Cook University Hospital, South Tees NHS Foundation Trust, England.

Andrew Elsaify

Medical School, Misr University for Science and Technology, Egypt.

Grace Lim

General Surgery Department, James Cook University Hospital, South Tees NHS Foundation Trust, England.

Wael Elsaify

General Surgery Department, James Cook University Hospital, South Tees NHS Foundation Trust, England.


View Book :- https://stm.bookpi.org/NVST-V5/article/view/4101

Monday, 24 May 2021

Step-wise Computational Analysis of Kinematics of 3 – Links Articulated Robotic Manipulator | Chapter 16 | Advanced Aspects of Engineering Research Vol. 8

 A computational analysis of the kinematics of a three-link articulated robotic manipulator is presented in this study. Robot manipulators are designed using the geometric placement of the linked arms, which needs a careful computational research. The angle required to relocate the end effector to a desired position was measured and estimated using the Forward Kinematics and Inverse Kinematics methods in order to determine the robotic arm's location in reference to related lengths and angle. A three-link robotic arm with a rigid rotational base was also demonstrated using free body diagrams and computational determination of the essential parameters. The results of forward kinematics reveal that utilising the values of x, y, and z coordinates, the robot's end effector location can be computed, allowing for more precise monitoring and adaption of the robot's arm/motion to its environment.

Author (s) Details

C. C. Obasi
Department of Computer Engineering, Edo University Iyamho, Edo State, Nigeria.

A. B. Ikharo
Department of Computer Engineering, Edo University Iyamho, Edo State, Nigeria.

S. Ogbikaya
Department of Electrical Electronics Engineering, Edo University Iyamho, Edo State, Nigeria.

V. A. Balogun
Mechanical Engineering Department, Edo University, Iyamho, Edo State, Nigeria.

A. Odaba
Electrical Electronics Engineering Department, Air Force Institute of Technology, Kaduna, Nigeria.

L. I. Ogbewey
Computer Engineering, Federal Polytechnic, Offa, Kwara State, Nigeria.

View Book :- https://stm.bookpi.org/AAER-V8/article/view/1111