J Ruby1*, Susan Diana1, Xianpei Li2, J Tisa3, William Harry4, J Nedumaan5, Mingmin Pan6, J Lepika7, Thomas Binford5 and P S Jagadeesh Kumar5
1Department of Medical Sciences, University of Oxford, United Kingdom
2Computational and Mathematical Engineering, Stanford University, United States
3Stanford Center for Biomedical Informatics Research, Stanford University, United States
4Center for Biomedical Imaging, Stanford University, United States
5Department of Computer Science, Stanford University, United States
6Biomedical Engineering Research Center, Nanyang Technological University, Singapore
7Department of Computer Science, Harvard University, United States
*Corresponding Author: J Ruby, Department of Medical Sciences, University of Oxford, United Kingdom.
Received: December 23, 2019; Published: January 24, 2020
Neurosurgery has customarily been at the cutting edge of propelling innovations, adjusting new strategies and gadgets effectively with an end goal to build the security and viability of brain surgery procedures. Among these adjustments is the surgical robot technology. This paper features a portion of the all the more encouraging frameworks in neurosurgical robotics, integrating brain surgical robots being used and being advanced. The reason for this paper is twofold, to address the most encouraging models for neurosurgical applications, and to examine a portion of the entanglements of robotic neurosurgery given the exceptional framework of the brain. The utilization of robotic assistance and input direction on surgical operations could improve the specialization of the experts during the underlying period of the expectation to absorb information.
Keywords: Medical and Surgical Robots; Surgical Applications; Brain Surgery; Minimally Invasive.
Citation: J Ruby., et al. “Integrating Medical Robots for Brain Surgical Applications". Acta Scientific Medical Sciences 4.2 (2020): 169-174.
Copyright: © 2020 J Ruby., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.