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Sadagopan et al. Art Int Surg 2024;4:387-400                                    Artificial
               DOI: 10.20517/ais.2024.34
                                                                               Intelligence Surgery




               Review                                                                        Open Access



               Beyond AI and robotics: the dawn of surgical
               automation in spine surgery


               Nishanth S. Sadagopan, Dillan Prasad, Rishi Jain, Christopher Ahuja, Nader S. Dahdaleh, Najib E. El Tecle

               Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
               Correspondence to: Prof. Najib E. El Tecle, Department of Neurological Surgery, Northwestern University Feinberg School of
               Medicine, 676 N. St. Clair Street, Suite 2210, Chicago, IL 60611, USA. E-mail: najib.eltecle@nm.org

               How to cite this article: Sadagopan NS, Prasad D, Jain R, Ahuja C, Dahdaleh NS, El Tecle NE. Beyond AI and robotics: the dawn of
               surgical automation in spine surgery. Art Int Surg 2024;4:387-400. https://dx.doi.org/10.20517/ais.2024.34

               Received: 31 May 2024  First Decision: 17 Oct 2024  Revised: 21 Oct 2024  Accepted: 29 Oct 2024  Published: 11 Nov 2024

               Academic Editors: Andrew Gumbs, Peter Passias  Copy Editor: Pei-Yun Wang  Production Editor: Pei-Yun Wang

               Abstract
               Artificial intelligence (AI), deep learning (DL), and machine learning (ML) algorithms are revolutionizing spine
               surgery. Soon, these technologies may allow the integration of automated devices into clinical practice. The roles of
               such devices are yet to be imagined and then developed, but one could assume that automated surgical devices
               can assist spine surgeons in a variety of ways, such as contextual guidance, precise screw placements, or
               intraoperative monitoring. In the not-too-distant future, such devices may be able to perform entire surgeries
               autonomously. Current literature suggests that advancements toward autonomous robotic surgery may improve
               surgical approaches and reduce negative clinical variation in spine surgery outcomes. This review aims to examine
               the current trends, practices, and advancements in surgical automation and provide an overview of the stages of
               automation of devices currently employed within spine surgery.

               Keywords: Neurological surgery, spine surgery, robotic surgery, artificial intelligence, machine learning, deep
               learning, surgical automation



               INTRODUCTION
               Artificial intelligence, machine learning, deep learning, and surgical automation
               Artificial Intelligence (AI) is revolutionizing healthcare by arguably mimicking human intelligence in
               machines, enabling them to perform complex tasks autonomously. At the forefront of this movement is







                           © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
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