Artificial Intelligence for the Treatment of Lumbar Spondylolisthesis.


Journal

Neurosurgery clinics of North America
ISSN: 1558-1349
Titre abrégé: Neurosurg Clin N Am
Pays: United States
ID NLM: 9008004

Informations de publication

Date de publication:
Jul 2019
Historique:
entrez: 13 5 2019
pubmed: 13 5 2019
medline: 10 7 2019
Statut: ppublish

Résumé

Multiple registries are currently collecting patient-specific data on lumbar spondylolisthesis including outcomes data. The collection of imaging diagnostics data along with comparative outcomes data following decompression versus decompression and fusion treatments for degenerative spondylolisthesis represents an enormous opportunity for modern machine-learning analytics research.

Identifiants

pubmed: 31078239
pii: S1042-3680(19)30025-7
doi: 10.1016/j.nec.2019.02.012
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

383-389

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Zoher Ghogawala (Z)

Department of Neurosurgery, Lahey Hospital and Medical Center, 41 Mall Road, Burlington, MA 01805, USA; Department of Neurosurgery, Tufts University School of Medicine, Boston, MA, USA. Electronic address: zoher.ghogawala@lahey.org.

Melissa Dunbar (M)

Department of Neurosurgery, Lahey Hospital and Medical Center, 41 Mall Road, Burlington, MA 01805, USA.

Irfan Essa (I)

College of Computing, Georgia Institute of Technology, 801 Atlantic Drive Northwest, Atlanta, GA 30332-0320, USA.

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Classifications MeSH