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Artificial Intelligence and Precision Medicine: A New Frontier for the Treatment of Brain Tumors
Brain tumors are a widespread and serious neurological phenomenon that can be life- threatening. The computing field has allowed for the development of artificial intelligence (AI), which can mimic the neural network of the human brain. One use of this technology has been to help researchers capture...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866715/ https://www.ncbi.nlm.nih.gov/pubmed/36675973 http://dx.doi.org/10.3390/life13010024 |
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author | Philip, Anil K. Samuel, Betty Annie Bhatia, Saurabh Khalifa, Shaden A. M. El-Seedi, Hesham R. |
author_facet | Philip, Anil K. Samuel, Betty Annie Bhatia, Saurabh Khalifa, Shaden A. M. El-Seedi, Hesham R. |
author_sort | Philip, Anil K. |
collection | PubMed |
description | Brain tumors are a widespread and serious neurological phenomenon that can be life- threatening. The computing field has allowed for the development of artificial intelligence (AI), which can mimic the neural network of the human brain. One use of this technology has been to help researchers capture hidden, high-dimensional images of brain tumors. These images can provide new insights into the nature of brain tumors and help to improve treatment options. AI and precision medicine (PM) are converging to revolutionize healthcare. AI has the potential to improve cancer imaging interpretation in several ways, including more accurate tumor genotyping, more precise delineation of tumor volume, and better prediction of clinical outcomes. AI-assisted brain surgery can be an effective and safe option for treating brain tumors. This review discusses various AI and PM techniques that can be used in brain tumor treatment. These new techniques for the treatment of brain tumors, i.e., genomic profiling, microRNA panels, quantitative imaging, and radiomics, hold great promise for the future. However, there are challenges that must be overcome for these technologies to reach their full potential and improve healthcare. |
format | Online Article Text |
id | pubmed-9866715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98667152023-01-22 Artificial Intelligence and Precision Medicine: A New Frontier for the Treatment of Brain Tumors Philip, Anil K. Samuel, Betty Annie Bhatia, Saurabh Khalifa, Shaden A. M. El-Seedi, Hesham R. Life (Basel) Review Brain tumors are a widespread and serious neurological phenomenon that can be life- threatening. The computing field has allowed for the development of artificial intelligence (AI), which can mimic the neural network of the human brain. One use of this technology has been to help researchers capture hidden, high-dimensional images of brain tumors. These images can provide new insights into the nature of brain tumors and help to improve treatment options. AI and precision medicine (PM) are converging to revolutionize healthcare. AI has the potential to improve cancer imaging interpretation in several ways, including more accurate tumor genotyping, more precise delineation of tumor volume, and better prediction of clinical outcomes. AI-assisted brain surgery can be an effective and safe option for treating brain tumors. This review discusses various AI and PM techniques that can be used in brain tumor treatment. These new techniques for the treatment of brain tumors, i.e., genomic profiling, microRNA panels, quantitative imaging, and radiomics, hold great promise for the future. However, there are challenges that must be overcome for these technologies to reach their full potential and improve healthcare. MDPI 2022-12-22 /pmc/articles/PMC9866715/ /pubmed/36675973 http://dx.doi.org/10.3390/life13010024 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Philip, Anil K. Samuel, Betty Annie Bhatia, Saurabh Khalifa, Shaden A. M. El-Seedi, Hesham R. Artificial Intelligence and Precision Medicine: A New Frontier for the Treatment of Brain Tumors |
title | Artificial Intelligence and Precision Medicine: A New Frontier for the Treatment of Brain Tumors |
title_full | Artificial Intelligence and Precision Medicine: A New Frontier for the Treatment of Brain Tumors |
title_fullStr | Artificial Intelligence and Precision Medicine: A New Frontier for the Treatment of Brain Tumors |
title_full_unstemmed | Artificial Intelligence and Precision Medicine: A New Frontier for the Treatment of Brain Tumors |
title_short | Artificial Intelligence and Precision Medicine: A New Frontier for the Treatment of Brain Tumors |
title_sort | artificial intelligence and precision medicine: a new frontier for the treatment of brain tumors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9866715/ https://www.ncbi.nlm.nih.gov/pubmed/36675973 http://dx.doi.org/10.3390/life13010024 |
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