An Introduction to Machine Learning for the Practicing Spine Surgeon

Clinical Spine Surgery A Spine Publication 2026

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Authors: Ryan T. Lin, Jonathan Dalton, Matthew Meade, Mark Miller, Ruchir Nanavati, Jarod Olson, Joydeep Baidya, Robert John Oris, Barrett I. Woods, Gregory Douglas Schroeder, Alexander Richard Vaccaro
DOI: 10.1097/bsd.0000000000002026
Cited by: 0
References: 39

Abstract

The applications of new and emerging technologies in spine surgery are constantly expanding. Specifically, machine learning algorithms have seen a rise in utilization in clinical research, allowing for interpretation of large datasets that have the capability of experiential learning. The goal of this work is to present a guide for surgeons to better understand model design, key takeaways, and common pitfalls related to machine learning to ensure accurate and appropriate interpretation of analytical findings in their practice.

Fields of Study & Subjects

Artificial Intelligence in Healthcare Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare

Publication details

Journal / source
Clinical Spine Surgery A Spine Publication
Volume
39
Issue
7
Pages
345–348
Publication date
5 January 2026
Language
EN