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Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning.
Wilson, Bayard; Gaonkar, Bilwaj; Yoo, Bryan; Salehi, Banafsheh; Attiah, Mark; Villaroman, Diane; Ahn, Christine; Edwards, Matthew; Laiwalla, Azim; Ratnaparkhi, Anshul; Li, Ien; Cook, Kirstin; Beckett, Joel; Macyszyn, Luke.
Affiliation
  • Wilson B; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
  • Gaonkar B; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
  • Yoo B; Department of Radiology, University of California, Los Angeles, Los Angeles, California, USA.
  • Salehi B; Department of Radiology, University of California, Los Angeles, Los Angeles, California, USA.
  • Attiah M; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
  • Villaroman D; Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California, USA.
  • Ahn C; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
  • Edwards M; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
  • Laiwalla A; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
  • Ratnaparkhi A; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
  • Li I; David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
  • Cook K; David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
  • Beckett J; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
  • Macyszyn L; Department of Neurosurgery, University of California, Los Angeles, Los Angeles, California, USA.
Neurosurgery ; 89(1): 116-121, 2021 06 15.
Article in En | MEDLINE | ID: mdl-33826737
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Full text: 1 Database: MEDLINE Main subject: Spinal Stenosis / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: Neurosurgery Year: 2021 Type: Article Affiliation country: United States
Fulltext
Add to My VHL
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Full text: 1 Database: MEDLINE Main subject: Spinal Stenosis / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male / Middle aged Language: En Journal: Neurosurgery Year: 2021 Type: Article Affiliation country: United States