Computational Modeling, Augmented Reality, and Artificial Intelligence in Spine Surgery.

Journal: Advances in experimental medicine and biology
PMID: 39523282

Abstract

Over the past decade, advancements in computational modeling, augmented reality, and artificial intelligence (AI) have been driving innovations in spine surgery. Much of the research conducted in these fields is from the past 5 years. In 2021, the market value for augmented reality and virtual reality reached around $22.6 billion, highlighting the rise in demand for these technologies in the medical industry and beyond. Currently, these modalities have a wide variety of potential uses, from preoperative planning of pedicle screw placement and assessment of surgical instrumentation to predictions for postoperative outcomes and development of educational tools. In this chapter, we provide an overview of the applications of these technologies in spine surgery. Furthermore, we discuss several avenues for further development, including integrations between these modalities and areas of improvement for more immersive, informative surgical experiences.

Authors

  • Meghana Bhimreddy
    Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Kelly Jiang
    Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Carly Weber-Levine
    Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Nicholas Theodore
    Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Orthopaedic Surgery & Biomedical Engineering, Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: theodore@jhmi.edu.

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