Trends in Robotic Surgery

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 2005 English Publisher:Mary Ann Liebert IncJournal:Journal of Endourology, volume 19, pages 940-951 (issn: 0892-7790, eissn: 1557-900X,

Copyright policy )

Authors: Cepolina F.; Challacombe B.; Michelini R. C.;

doi: 10.1089/end.2005.19.940

pmid: 16253055

handle: 11567/1097316

Trends in Robotic Surgery

- Summary
- Subjects
- Metrics

Abstract

Robotic surgery began as a technology-driven innovation but is now becoming a genuine method of improving healthcare effectiveness worldwide. This comprehensive review introduces the current trends, using examples of specific systems to distinguish the various types of robotic surgical devices, from remote handling machines to those performing delicate local interventions. We end by commenting on how to extend existing systems and provide an account of the rapid developments in minimally invasive robotic surgery.

Related Organizations

Guy's and St Thomas' NHS Foundation Trust
United Kingdom
University of Genoa
Italy
Guy's Hospital
United Kingdom

Keywords

Endoscopes, Equipment Design, Robotics, Computer-Assisted Instruction; Diagnosis, Computer-Assisted; Endoscopes; Equipment Design; Humans; Robotics; Surgery, Computer-Assisted; Urologic Surgical Procedures, Surgery, Computer-Assisted, Humans, Urologic Surgical Procedures, Diagnosis, Computer-Assisted, Computer-Assisted Instruction

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	16
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%