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A Review of Artificial Intelligence in the Rupture Risk Assessment of Intracranial Aneurysms: Applications and Challenges
Intracranial aneurysms (IAs) are highly prevalent in the population, and their rupture poses a significant risk of death or disability. However, the treatment of aneurysms, whether through interventional embolization or craniotomy clipping surgery, is not always safe and carries a certain proportion...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377544/ https://www.ncbi.nlm.nih.gov/pubmed/37508988 http://dx.doi.org/10.3390/brainsci13071056 |
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author | Li, Xiaopeng Zeng, Lang Lu, Xuanzhen Chen, Kun Yu, Maling Wang, Baofeng Zhao, Min |
author_facet | Li, Xiaopeng Zeng, Lang Lu, Xuanzhen Chen, Kun Yu, Maling Wang, Baofeng Zhao, Min |
author_sort | Li, Xiaopeng |
collection | PubMed |
description | Intracranial aneurysms (IAs) are highly prevalent in the population, and their rupture poses a significant risk of death or disability. However, the treatment of aneurysms, whether through interventional embolization or craniotomy clipping surgery, is not always safe and carries a certain proportion of morbidity and mortality. Therefore, early detection and prompt intervention of IAs with a high risk of rupture is of notable clinical significance. Moreover, accurately predicting aneurysms that are likely to remain stable can help avoid the risks and costs of over-intervention, which also has considerable social significance. Recent advances in artificial intelligence (AI) technology offer promising strategies to assist clinical trials. This review will discuss the state-of-the-art AI applications for assessing the rupture risk of IAs, with a focus on achievements, challenges, and potential opportunities. |
format | Online Article Text |
id | pubmed-10377544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103775442023-07-29 A Review of Artificial Intelligence in the Rupture Risk Assessment of Intracranial Aneurysms: Applications and Challenges Li, Xiaopeng Zeng, Lang Lu, Xuanzhen Chen, Kun Yu, Maling Wang, Baofeng Zhao, Min Brain Sci Review Intracranial aneurysms (IAs) are highly prevalent in the population, and their rupture poses a significant risk of death or disability. However, the treatment of aneurysms, whether through interventional embolization or craniotomy clipping surgery, is not always safe and carries a certain proportion of morbidity and mortality. Therefore, early detection and prompt intervention of IAs with a high risk of rupture is of notable clinical significance. Moreover, accurately predicting aneurysms that are likely to remain stable can help avoid the risks and costs of over-intervention, which also has considerable social significance. Recent advances in artificial intelligence (AI) technology offer promising strategies to assist clinical trials. This review will discuss the state-of-the-art AI applications for assessing the rupture risk of IAs, with a focus on achievements, challenges, and potential opportunities. MDPI 2023-07-11 /pmc/articles/PMC10377544/ /pubmed/37508988 http://dx.doi.org/10.3390/brainsci13071056 Text en © 2023 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 Li, Xiaopeng Zeng, Lang Lu, Xuanzhen Chen, Kun Yu, Maling Wang, Baofeng Zhao, Min A Review of Artificial Intelligence in the Rupture Risk Assessment of Intracranial Aneurysms: Applications and Challenges |
title | A Review of Artificial Intelligence in the Rupture Risk Assessment of Intracranial Aneurysms: Applications and Challenges |
title_full | A Review of Artificial Intelligence in the Rupture Risk Assessment of Intracranial Aneurysms: Applications and Challenges |
title_fullStr | A Review of Artificial Intelligence in the Rupture Risk Assessment of Intracranial Aneurysms: Applications and Challenges |
title_full_unstemmed | A Review of Artificial Intelligence in the Rupture Risk Assessment of Intracranial Aneurysms: Applications and Challenges |
title_short | A Review of Artificial Intelligence in the Rupture Risk Assessment of Intracranial Aneurysms: Applications and Challenges |
title_sort | review of artificial intelligence in the rupture risk assessment of intracranial aneurysms: applications and challenges |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10377544/ https://www.ncbi.nlm.nih.gov/pubmed/37508988 http://dx.doi.org/10.3390/brainsci13071056 |
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