Page 107 - Read Online
P. 107

Ambati et al. Art Int Surg. 2025;5:53-64                                        Artificial
               DOI: 10.20517/ais.2024.45
                                                                               Intelligence Surgery




               Review                                                                        Open Access



               Has artificial intelligence in spine surgery lived up to
               the hype? A narrative review of recent approaches,

               current challenges, and the path forward


               Vardhaan S. Ambati, Satvir Saggi, Abraham Dada, Nima Alan
               Department of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA.
               Correspondence to: Dr. Nima Alan, Department of Neurological Surgery, University of California, 505 Parnassus Ave, M779, San
               Francisco, CA 94143, USA. E-mail: nima.alan@ucsf.edu

               How to cite this article: Ambati VS, Saggi S, Dada A, Alan N. Has artificial intelligence in spine surgery lived up to the hype? A
               narrative review of recent approaches, current challenges, and the path forward. Art Int Surg. 2025;5:53-64. https://dx.doi.org/
               10.20517/ais.2024.45

               Received: 18 Jun 2024  First Decision: 6 Nov 2024  Revised: 10 Dec 2024  Accepted: 16 Dec 2024  Published: 18 Dec 2025

               Academic Editor: Andrew Gumbs  Copy Editor: Pei-Yun Wang  Production Editor: Pei-Yun Wang

               Abstract
               Healthcare applications of artificial intelligence (AI) and machine learning (ML) are currently in a stage of
               exponential growth; however, their adoption into clinical practice across clinical specialties remains uneven. In
               spine surgery, the presence of challenging clinical problems, advanced intraoperative technologies, and large multi-
               center datasets positions the field well for the integration of these technologies into the clinic and operating room
               (OR). Here,  we  review  recent  advances  in  AI/ML  applications  in  several  key  domains  of  spine  surgery,
               identify methodological challenges shared by many approaches, and suggest solutions that may lead to these
               approaches becoming validated, commercialized tools that can reach clinical practice. Ultimately, we aim for
               this narrative review to help catalyze further progress in the development and commercialization of AI/ML to
               benefit future spine patients.



               Keywords: Artificial intelligence, machine learning, spine surgery

               INTRODUCTION
               The past decades have seen spine surgery at the forefront of healthcare innovation, with countless
                                                                                                     [1-3]
               advancements in surgical techniques, robotics, and medical devices positively impacting patient care . In





                           © The Author(s) 2025. 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
               indicate if changes were made.

                                                                                        www.oaepublish.com/ais
   102   103   104   105   106   107   108   109   110   111   112