Open AccessPredicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning
Author(s) -
Bayard Wilson,
Bilwaj Gaonkar,
Bryan Yoo,
Banafsheh Salehi,
Mark Attiah,
Diane Villaroman,
Christine S. Ahn,
Matthew D. Edwards,
Azim Laiwalla,
Anshul Ratnaparkhi,
Ien Li,
Kirstin Cook,
Joel Beckett,
Luke Macyszyn
Publication year - 2021
Publication title -
neurosurgery/neurosurgery online
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.455
H-Index - 198
eISSN - 1081-1281
pISSN - 0148-396X
DOI - 10.1093/neuros/nyab085
Subject(s) - medicine , magnetic resonance imaging , lumbar , laminotomy , candidacy , radiology , triage , surgical planning , surgery , laminectomy , spinal cord , emergency medicine , psychiatry , politics , political science , law
The referral process for consultation with a spine surgeon remains inefficient, given a substantial proportion of referrals to spine surgeons are nonoperative.