Integrating Augmented Reality in Spine Surgery: Redefining Precision with New Technologies

Introduction: The integration of augmented reality (AR) in spine surgery marks a significant advancement, enhancing surgical precision and patient outcomes. AR provides immersive, three-dimensional visualizations of anatomical structures, facilitating meticulous planning and execution of spine surgeries. This technology not only improves spatial understanding and real-time navigation during procedures but also aims to reduce surgical invasiveness and operative times. Despite its potential, challenges such as model accuracy, user interface design, and the learning curve for new technology must be addressed. AR’s application extends beyond the operating room, offering valuable tools for medical education and improving patient communication and satisfaction. Material and methods: A literature review was conducted by searching PubMed and Scopus databases using keywords related to augmented reality in spine surgery, covering publications from January 2020 to January 2024. Results: In total, 319 articles were identified through the initial search of the databases. After screening titles and abstracts, 11 articles in total were included in the qualitative synthesis. Conclusion: Augmented reality (AR) is becoming a transformative force in spine surgery, enhancing precision, education, and outcomes despite hurdles like technical limitations and integration challenges. AR’s immersive visualizations and educational innovations, coupled with its potential synergy with AI and machine learning, indicate a bright future for surgical care. Despite the existing obstacles, AR’s impact on improving surgical accuracy and safety marks a significant leap forward in patient treatment and care. © 2024 by the authors.

Authors
De Jesus Encarnacion Ramirez M. , Chmutin G. , Nurmukhametov R. , Soto G.R. , Kannan S. , Piavchenko G. , Nikolenko V. , Efe I.E. , Romero A.R. , Mukengeshay J.N. , Simfukwe K. , Mpoyi Cherubin T. , Nicolosi F. , Sharif S. , Roa J.C. , Montemurro N.
Journal
Publisher
MDPI AG
Number of issue
7
Language
English
Status
Published
Number
645
Volume
14
Year
2024
Organizations
  • 1 Department of Neurosurgery, Russian People’s Friendship University, Moscow, 117198, Russian Federation
  • 2 Department of Head and Neck, Unidad de Neurociencias, Instituto Nacional de Cancerología, Mexico City, 14080, Mexico
  • 3 School of Medicine, University of Central Lancashire, Preston, PR0 2AA, United Kingdom
  • 4 Department of Human Anatomy and Histology, Sechenov University, Moscow, 119911, Russian Federation
  • 5 Department of Neurosurgery, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119991, Russian Federation
  • 6 Department of Neurosurgery, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, 10178, Germany
  • 7 Department of Neurosurgery, Hospital Angeles Universidad, Mexico City, 03330, Mexico
  • 8 Department Neurosurgery, Clinique Ngaliema, Kinshasa, 3089, Democratic Republic Congo
  • 9 Department of Medicine and Surgery, Neurosurgery, University of Milano-Bicocca, Milan, 20126, Italy
  • 10 Department of Neurosurgery, Liaquat National Hospital and Medical College, Karachi, 05444, Pakistan
  • 11 Department of Pathology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, 8330024, Chile
  • 12 Department of Neurosurgery, Azienda Ospedaliero Universitaria Pisana (AOUP), Pisa, 56100, Italy
Keywords
3D model training; cervical spine; laboratory; neurosurgery; residents
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