Robotics in Spine Surgery and Spine Surgery Training.


Journal

Operative neurosurgery (Hagerstown, Md.)
ISSN: 2332-4260
Titre abrégé: Oper Neurosurg (Hagerstown)
Pays: United States
ID NLM: 101635417

Informations de publication

Date de publication:
15 07 2021
Historique:
received: 17 08 2020
accepted: 23 10 2020
pubmed: 22 5 2021
medline: 3 8 2021
entrez: 21 5 2021
Statut: ppublish

Résumé

The increasing interest and advancements in robotic spine surgery parallels a growing emphasis on maximizing patient safety and outcomes. In addition, an increasing interest in minimally invasive spine surgery has further fueled robotic development, as robotic guidance systems are aptly suited for these procedures. This review aims to address 3 of the most critical aspects of robotics in spine surgery today: salient details regarding the current and future development of robotic systems and functionalities, the reported accuracy of implant placement over the years, and how the implementation of robotic systems will impact the training of future generations of spine surgeons. As current systems establish themselves as highly accurate tools for implant placement, the development of novel features, including even robotic-assisted decompression, will likely occur. As spine surgery robots evolve and become increasingly adopted, it is likely that resident and fellow education will follow suit, leading to unique opportunities for both established surgeons and trainees.

Identifiants

pubmed: 34017989
pii: 6279398
doi: 10.1093/ons/opaa449
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

35-40

Informations de copyright

© Congress of Neurological Surgeons 2021.

Auteurs

Jason I Liounakos (JI)

Department of Neurological Surgery, University of Miami, Miami, Florida.

Louis Chenin (L)

Department of Neurosurgery, Amiens University Hospital, Avenue René Laënnec, Salouël, Amiens Cedex 1, France.

Nicholas Theodore (N)

Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland.

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Classifications MeSH