Machine learning models for predicting dysphonia following anterior cervical discectomy and fusion: a Swedish Registry Study.

Journal: The spine journal : official journal of the North American Spine Society
PMID: 39505010

Abstract

BACKGROUND: Dysphonia is one of the more common complications following anterior cervical discectomy and fusion (ACDF). ACDF is the gold standard for treating degenerative cervical spine disorders, and identifying high-risk patients is therefore crucial.

Authors

  • Ali Buwaider
    Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Victor Gabriel El-Hajj
    1Neuro-Informatics Laboratory, Mayo Clinic, Rochester, Minnesota.
  • Anna MacDowall
    Department of Surgical Sciences, Uppsala University, Uppsala, Sweden; Department of Orthopaedics and Hand surgery, Uppsala University Hospital, Uppsala, Sweden.
  • Paul Gerdhem
    Department of Clinical Science, Intervention and Technology, Karolinska Institute, Department of Orthopaedics, Karolinska University Hospital, 171 77 Stockholm, Sweden.
  • Victor E Staartjes
    Department of Neurosurgery, Bergman Clinics, Naarden, The Netherlands; and.
  • Erik Edström
    Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
  • Adrian Elmi-Terander
    Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

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