Publication
Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables.
Journal Paper/Review - Feb 24, 2024
Schonfeld Ethan, Shah Aaryan, Johnstone Thomas Michael, Rodrigues Adrian John, Morris GarrK, Stienen Martin N., Veeravagu Anand
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PubMed
Doi
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Citation
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Journal
Publication Date
Issn Electronic
Brief description/objective
Cervical spine procedures represent a major proportion of all spine surgery. Mitigating the revision rate following cervical procedures requires careful patient selection. While complication risk has successfully been predicted, revision risk has proven more challenging. This is likely due to the absence of granular variables in claims databases. The objective of this study was to develop a state-of-the-art of revision prediction of cervical spine surgery using laboratory and operative variables.