Robot-assisted Surgery: A Platform for New Technologies and Algorithms

Jarc, Anthony

Title:

Robot-assisted Surgery: A Platform for New Technologies and Algorithms

dc.contributor.author	Jarc, Anthony
dc.contributor.corporatename	Georgia Institute of Technology. Institute for Robotics and Intelligent Machine	en_US
dc.contributor.corporatename	Intuitive Surgical	en_US
dc.date.accessioned	2016-09-16T19:50:48Z
dc.date.available	2016-09-16T19:50:48Z
dc.date.issued	2016-09-07
dc.description	Presented on September 7, 2016 at 12:00 p.m. in the Georgia Tech Manufacturing Institute, Auditorium	en_US
dc.description	Anthony Jarc is the manager of Research and Data Science at Intuitive Surgical, Inc. His research examines advanced algorithms and technologies focused on surgeon training and workflow in robot-assisted surgery. He received his B.S. in Mechanical Engineering from Cornell University and his Ph.D. in Biomedical Engineering from Northwestern University.	en_US
dc.description	Runtime: 47:09 minutes	en_US
dc.description.abstract	Intuitive Surgical is the global leader in the rapidly emerging field of robotic-assisted minimally invasive surgery. To date, skilled surgeons using da Vinci Systems have performed more than 3 million minimally invasive procedures worldwide. In this talk, Jarc will introduce the da Vinci Surgical System and highlight the many exciting opportunities for development of advanced technologies.	en_US
dc.format.extent	47:09 minutes
dc.identifier.uri	http://hdl.handle.net/1853/55873
dc.language.iso	en_US	en_US
dc.relation.ispartofseries	IRIM Seminar Series
dc.subject	Analytics	en_US
dc.subject	Robotics	en_US
dc.subject	Surgery	en_US
dc.subject	Technology	en_US
dc.title	Robot-assisted Surgery: A Platform for New Technologies and Algorithms	en_US
dc.type	Moving Image
dc.type.genre	Lecture
dspace.entity.type	Publication
local.contributor.corporatename	Institute for Robotics and Intelligent Machines (IRIM)
local.relation.ispartofseries	IRIM Seminar Series
relation.isOrgUnitOfPublication	66259949-abfd-45c2-9dcc-5a6f2c013bcf
relation.isSeriesOfPublication	9bcc24f0-cb07-4df8-9acb-94b7b80c1e46