Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables.

Publikation

Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables.

Wissenschaftlicher Artikel/Review - 24.02.2024

Schonfeld Ethan, Shah Aaryan, Johnstone Thomas Michael, Rodrigues Adrian John, Morris GarrK, Stienen Martin N., Veeravagu Anand

Zitation

Schonfeld E, Shah A, Johnstone T, Rodrigues A, Morris G, Stienen M, Veeravagu A. Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables. World Neurosurg 2024

Art

Wissenschaftlicher Artikel/Review (Englisch)

Zeitschrift

World Neurosurg 2024

Veröffentlichungsdatum

24.02.2024

eISSN (Online)

1878-8769

Kurzbeschreibung/Zielsetzung

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.