Navigating Artificial Intelligence In Spine Surgery: Implementation and Optimization Across the Care Continuum

Authors

Antony A. Fuleihan, Thomas Jefferson UniversityFollow
Arjun K. Menta
Tej D. Azad
Kelly Jiang
Carly Weber-Levine
Daniel A. Davidar
Andrew M. Hersh
Nicholas Theodore

Document Type

Article

Publication Date

10-12-2024

Comments

This article is the author's final published version in Artificial Intelligence Surgery, Volume 4, Issue 4, December 2024, pages 288-295.

The published version is available at https://doi.org/10.20517/ais.2024.39.

Copyright © The Author(s) 2024.

Abstract

The field of spine surgery has long been characterized by innovations and technological advancements. The integration of artificial intelligence (AI) into spine surgery represents one of the latest technical developments in the field. The ability of AI to rapidly analyze datasets improves decision making, risk assessment, intraoperative precision, and postoperative management, all of which contribute to increasing personalized spine care and improving outcomes. However, the successful implementation of AI faces regulatory and privacy challenges that must be addressed before its full potential can be realized. Here, we provide a detailed analysis of the current applications and future prospects of AI in spine surgery, highlighting both the opportunities and challenges in this evolving field.

Recommended Citation

Fuleihan, Antony A.; Menta, Arjun K.; Azad, Tej D.; Jiang, Kelly; Weber-Levine, Carly; Davidar, Daniel A.; Hersh, Andrew M.; and Theodore, Nicholas, "Navigating Artificial Intelligence In Spine Surgery: Implementation and Optimization Across the Care Continuum" (2024). SKMC Student Presentations and Publications. Paper 45.
https://jdc.jefferson.edu/skmcstudentworks/45

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Language

English