Artificial Intelligence in Spine Surgery

Justin K Scheer; Christopher P Ames

doi:10.1016/j.nec.2023.11.001

Artificial Intelligence in Spine Surgery

Neurosurg Clin N Am. 2024 Apr;35(2):253-262. doi: 10.1016/j.nec.2023.11.001. Epub 2023 Nov 29.

Authors

Justin K Scheer¹, Christopher P Ames²

Affiliations

¹ Department of Neurological Surgery, University of California, San Francisco, CA, USA. Electronic address: jks2243@cumc.columbia.edu.
² Department of Neurological Surgery, University of California, San Francisco, CA, USA.

PMID: 38423741
DOI: 10.1016/j.nec.2023.11.001

Abstract

The amount and quality of data being used in our everyday lives continue to advance in an unprecedented pace. This digital revolution has permeated healthcare, specifically spine surgery, allowing for very advanced and complex computational analytics, such as artificial intelligence (AI) and machine learning (ML). The integration of these methods into clinical practice has just begun, and the following review article will describe AI/ML, demonstrate how it has been applied in adult spinal deformity surgery, and show its potential to improve patient care touching on future directions.

Keywords: Adult spinal deformity; Artificial intelligence; Complications; Machine learning; Outcomes; Predictive modeling; Scoliosis.

Publication types

Review

MeSH terms

Artificial Intelligence*
Humans
Machine Learning*