• Advancing Spine Surgery: Innov...

Treffer: Advancing Spine Surgery: Innovations for Spatial Computing Integration.

Title:
Advancing Spine Surgery: Innovations for Spatial Computing Integration.
Authors:
Elsayed GA; Department of Neurological Surgery, Och Spine at New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA. Electronic address: sbk9015@med.cornell.edu., Dykhouse G; Department of Neurological Surgery, Och Spine at New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA., Ikwuegbuenyi CA; Department of Neurological Surgery, Och Spine at New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA., Willett N; Department of Neurological Surgery, Och Spine at New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA., Hussain I; Department of Neurological Surgery, Och Spine at New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA., Hamad M; Department of Neurological Surgery, Och Spine at New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA., Kashlan ON; Department of Neurological Surgery, Och Spine at New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA., Härtl R; Department of Neurological Surgery, Och Spine at New York Presbyterian Hospital, Weill Cornell Medicine, New York, New York, USA.
Source:
World neurosurgery [World Neurosurg] 2025 Dec; Vol. 204, pp. 124513.
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: Elsevier Country of Publication: United States NLM ID: 101528275 Publication Model: Print Cited Medium: Internet ISSN: 1878-8769 (Electronic) Linking ISSN: 18788750 NLM ISO Abbreviation: World Neurosurg Subsets: MEDLINE
Imprint Name(s):
Original Publication: New York : Elsevier
MeSH Terms:
Artificial Intelligence* , Spine*/surgery , Spine*/diagnostic imaging , Surgery, Computer-Assisted*/methods , Surgery, Computer-Assisted*/trends , Neurosurgical Procedures*/methods , Neurosurgical Procedures*/trends , Spinal Diseases*/surgery , Spinal Diseases*/diagnostic imaging, Humans ; Imaging, Three-Dimensional ; Augmented Reality
Contributed Indexing:
Keywords: Artificial intelligence; Augmented reality; Digital twin; Personalized medicine; Spatial computing; Spine surgery; Virtual reality
Entry Date(s):
Date Created: 20251217 Date Completed: 20251217 Latest Revision: 20251217
Update Code:
20251218
DOI:
10.1016/j.wneu.2025.124513
PMID:
41407472
Database:
MEDLINE

Weitere Informationen

Spine surgery is experiencing a paradigm shift based on a drive toward integration of spatial computing, artificial intelligence (AI), and advanced imaging technologies. This review provides an overview of the necessary innovations across the clinical spine surgery workflow to facilitate a successful technological ecosystem for spatial computing in spine surgery. The authors conducted a literature review of recent advancements in spine surgery from 2013 to 2024, focusing on studies that highlight the infrastructural development needed to implement spatial computing in spine surgery. Significant innovations were identified in several key areas: (1) advanced diagnostic tools, including AI-enhanced physical examinations and automated radiological interpretation; (2) improved imaging protocols optimized for 3D reconstructions; (3) enhanced preoperative planning utilizing virtual reality and patient-specific simulations; (4) pathology-specific applications of spatial computing and AI; (5) intraoperative assistance through augmented reality navigation and AI-powered tissue differentiation; (6) optimized postoperative care and rehabilitation using continuous monitoring systems and personalized AI-driven programs; and (7) improved long-term outcome tracking with smart wearables and predictive modeling. Overall, the integration of spatial computing, AI, and advanced imaging techniques offers unprecedented opportunities to enhance precision, personalization, and outcomes in spine surgery. However, challenges remain, particularly with respect to clinical validation, cost-effectiveness, and ethical considerations. As these technologies continue to evolve, ongoing research and interdisciplinary collaboration will be crucial to realizing their full potential in improving patient care.
(Copyright © 2025 The Author(s). Published by Elsevier Inc. All rights reserved.)