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Emerging Technologies in the Treatment of Adult Spinal Deformity
Outcomes for adult spinal deformity continue to improve as new technologies become integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patient-specific rods are tools that are being used to improve preoperative planning and patient satisfaction. Machine learning can...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Spinal Neurosurgery Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497255/ https://www.ncbi.nlm.nih.gov/pubmed/34610669 http://dx.doi.org/10.14245/ns.2142412.206 |
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author | Patel, Akshar V. White, Christopher A. Schwartz, John T. Pitaro, Nicholas L. Shah, Kush C. Singh, Sirjanhar Arvind, Varun Kim, Jun S. Cho, Samuel K. |
author_facet | Patel, Akshar V. White, Christopher A. Schwartz, John T. Pitaro, Nicholas L. Shah, Kush C. Singh, Sirjanhar Arvind, Varun Kim, Jun S. Cho, Samuel K. |
author_sort | Patel, Akshar V. |
collection | PubMed |
description | Outcomes for adult spinal deformity continue to improve as new technologies become integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patient-specific rods are tools that are being used to improve preoperative planning and patient satisfaction. Machine learning can be used to predict complications, readmissions, and generate postoperative radiographs which can be shown to patients to guide discussions about surgery. Robot-guided spinal surgery is a rapidly growing field showing signs of greater accuracy in screw placement during surgery. Patient-specific rods offer improved outcomes through higher correction rates and decreased rates of rod breakage while decreasing operative time. The objective of this review is to evaluate trends in the literature about machine learning, robot-guided spinal surgery, and patient-specific rods in the treatment of adult spinal deformity. |
format | Online Article Text |
id | pubmed-8497255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Korean Spinal Neurosurgery Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-84972552021-10-15 Emerging Technologies in the Treatment of Adult Spinal Deformity Patel, Akshar V. White, Christopher A. Schwartz, John T. Pitaro, Nicholas L. Shah, Kush C. Singh, Sirjanhar Arvind, Varun Kim, Jun S. Cho, Samuel K. Neurospine Review Article Outcomes for adult spinal deformity continue to improve as new technologies become integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patient-specific rods are tools that are being used to improve preoperative planning and patient satisfaction. Machine learning can be used to predict complications, readmissions, and generate postoperative radiographs which can be shown to patients to guide discussions about surgery. Robot-guided spinal surgery is a rapidly growing field showing signs of greater accuracy in screw placement during surgery. Patient-specific rods offer improved outcomes through higher correction rates and decreased rates of rod breakage while decreasing operative time. The objective of this review is to evaluate trends in the literature about machine learning, robot-guided spinal surgery, and patient-specific rods in the treatment of adult spinal deformity. Korean Spinal Neurosurgery Society 2021-09 2021-09-30 /pmc/articles/PMC8497255/ /pubmed/34610669 http://dx.doi.org/10.14245/ns.2142412.206 Text en Copyright © 2021 by the Korean Spinal Neurosurgery Society https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Patel, Akshar V. White, Christopher A. Schwartz, John T. Pitaro, Nicholas L. Shah, Kush C. Singh, Sirjanhar Arvind, Varun Kim, Jun S. Cho, Samuel K. Emerging Technologies in the Treatment of Adult Spinal Deformity |
title | Emerging Technologies in the Treatment of Adult Spinal Deformity |
title_full | Emerging Technologies in the Treatment of Adult Spinal Deformity |
title_fullStr | Emerging Technologies in the Treatment of Adult Spinal Deformity |
title_full_unstemmed | Emerging Technologies in the Treatment of Adult Spinal Deformity |
title_short | Emerging Technologies in the Treatment of Adult Spinal Deformity |
title_sort | emerging technologies in the treatment of adult spinal deformity |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497255/ https://www.ncbi.nlm.nih.gov/pubmed/34610669 http://dx.doi.org/10.14245/ns.2142412.206 |
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