Artificial Intelligence Models Predict Operative versus Non-Operative Management of Adult Spinal Deformity Patients With 86% Accuracy.

Authors

Wesley M Durand
Alan H Daniels
David K Hamilton
Peter Passias
Han Jo Kim
Themistocles Protopsaltis
Virginie LaFage
Justin S Smith
Christopher Shaffrey
Munish Gupta
Eric Klineberg
Frank Schwab
Doug Burton
Shay Bess
Christopher Ames
Robert A Hart, Swedish Neuroscience Institute, Seattle, WAFollow
International Spine Study Group

Document Type

Article

Publication Date

5-17-2020

Publication Title

World Neurosurg

Clinical Institute

Neurosciences (Brain & Spine)

Department

Neurosciences

Recommended Citation

Durand, Wesley M; Daniels, Alan H; Hamilton, David K; Passias, Peter; Kim, Han Jo; Protopsaltis, Themistocles; LaFage, Virginie; Smith, Justin S; Shaffrey, Christopher; Gupta, Munish; Klineberg, Eric; Schwab, Frank; Burton, Doug; Bess, Shay; Ames, Christopher; Hart, Robert A; and International Spine Study Group, "Artificial Intelligence Models Predict Operative versus Non-Operative Management of Adult Spinal Deformity Patients With 86% Accuracy." (2020). Articles, Abstracts, and Reports. 3184.
https://digitalcommons.providence.org/publications/3184