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Artificial Intelligence for Neurosurgery : Current State and Future Directions
Artificial intelligence (AI) is a field of computer science that equips machines with human-like intelligence and enables them to learn, reason, and solve problems when presented with data in various formats. Neurosurgery is often at the forefront of innovative and disruptive technologies, which hav...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Neurosurgical Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009243/ https://www.ncbi.nlm.nih.gov/pubmed/36124365 http://dx.doi.org/10.3340/jkns.2022.0130 |
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author | Noh, Sung Hyun Cho, Pyung Goo Kim, Keung Nyun Kim, Sang Hyun Shin, Dong Ah |
author_facet | Noh, Sung Hyun Cho, Pyung Goo Kim, Keung Nyun Kim, Sang Hyun Shin, Dong Ah |
author_sort | Noh, Sung Hyun |
collection | PubMed |
description | Artificial intelligence (AI) is a field of computer science that equips machines with human-like intelligence and enables them to learn, reason, and solve problems when presented with data in various formats. Neurosurgery is often at the forefront of innovative and disruptive technologies, which have similarly altered the course of acute and chronic diseases. In diagnostic imaging, such as X-rays, computed tomography, and magnetic resonance imaging, AI is used to analyze images. The use of robots in the field of neurosurgery is also increasing. In neurointensive care units, AI is used to analyze data and provide care to critically ill patients. Moreover, AI can be used to predict a patient’s prognosis. Several AI applications have already been introduced in the field of neurosurgery, and many more are expected in the near future. Ultimately, it is our responsibility to keep pace with this evolution to provide meaningful outcomes and personalize each patient’s care. Rather than blindly relying on AI in the future, neurosurgeons should gain a thorough understanding of it and use it to enhance their patient care. |
format | Online Article Text |
id | pubmed-10009243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korean Neurosurgical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-100092432023-03-14 Artificial Intelligence for Neurosurgery : Current State and Future Directions Noh, Sung Hyun Cho, Pyung Goo Kim, Keung Nyun Kim, Sang Hyun Shin, Dong Ah J Korean Neurosurg Soc Review Article Artificial intelligence (AI) is a field of computer science that equips machines with human-like intelligence and enables them to learn, reason, and solve problems when presented with data in various formats. Neurosurgery is often at the forefront of innovative and disruptive technologies, which have similarly altered the course of acute and chronic diseases. In diagnostic imaging, such as X-rays, computed tomography, and magnetic resonance imaging, AI is used to analyze images. The use of robots in the field of neurosurgery is also increasing. In neurointensive care units, AI is used to analyze data and provide care to critically ill patients. Moreover, AI can be used to predict a patient’s prognosis. Several AI applications have already been introduced in the field of neurosurgery, and many more are expected in the near future. Ultimately, it is our responsibility to keep pace with this evolution to provide meaningful outcomes and personalize each patient’s care. Rather than blindly relying on AI in the future, neurosurgeons should gain a thorough understanding of it and use it to enhance their patient care. Korean Neurosurgical Society 2023-03 2022-09-20 /pmc/articles/PMC10009243/ /pubmed/36124365 http://dx.doi.org/10.3340/jkns.2022.0130 Text en Copyright © 2023 The Korean Neurosurgical 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 Noh, Sung Hyun Cho, Pyung Goo Kim, Keung Nyun Kim, Sang Hyun Shin, Dong Ah Artificial Intelligence for Neurosurgery : Current State and Future Directions |
title | Artificial Intelligence for Neurosurgery : Current State and Future Directions |
title_full | Artificial Intelligence for Neurosurgery : Current State and Future Directions |
title_fullStr | Artificial Intelligence for Neurosurgery : Current State and Future Directions |
title_full_unstemmed | Artificial Intelligence for Neurosurgery : Current State and Future Directions |
title_short | Artificial Intelligence for Neurosurgery : Current State and Future Directions |
title_sort | artificial intelligence for neurosurgery : current state and future directions |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009243/ https://www.ncbi.nlm.nih.gov/pubmed/36124365 http://dx.doi.org/10.3340/jkns.2022.0130 |
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