Advancements in Robotic-Assisted Spine Surgery

A Daniel Davidar; Kelly Jiang; Carly Weber-Levine; Meghana Bhimreddy; Nicholas Theodore

doi:10.1016/j.nec.2023.11.005

Advancements in Robotic-Assisted Spine Surgery

Neurosurg Clin N Am. 2024 Apr;35(2):263-272. doi: 10.1016/j.nec.2023.11.005. Epub 2023 Dec 6.

Authors

A Daniel Davidar¹, Kelly Jiang¹, Carly Weber-Levine¹, Meghana Bhimreddy¹, Nicholas Theodore²

Affiliations

¹ Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
² 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.

PMID: 38423742
DOI: 10.1016/j.nec.2023.11.005

Abstract

Applications and workflows around spinal robotics have evolved since these systems were first introduced in 2004. Initially approved for lumbar pedicle screw placement, the scope of robotics has expanded to instrumentation across different regions. Additionally, precise navigation can aid in tumor resection or spinal lesion ablation. Robot-assisted surgery can improve accuracy while decreasing radiation exposure, length of hospital stay, complication, and revision rates. Disadvantages include increased operative time, dependence on preoperative imaging among others. The future of robotic spine surgery includes automated surgery, telerobotic surgery, and the inclusion of machine learning or artificial intelligence in preoperative planning.

Keywords: Robotics; Technology.

Publication types

Review

MeSH terms

Artificial Intelligence
Humans
Lumbar Vertebrae / surgery
Robotic Surgical Procedures* / methods
Robotics* / methods
Spinal Fusion* / methods
Spine / surgery