{"title":"人工智能在脑动静脉畸形中的应用：血管结构、临床症状和预后预测。","authors":"Xiangyu Li, Sishi Xiang, Guilin Li","doi":"10.1177/15910199241238798","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) has rapidly advanced in the medical field, leveraging its intelligence and automation for the management of various diseases. Brain arteriovenous malformations (AVM) are particularly noteworthy, experiencing rapid development in recent years and yielding remarkable results. This paper aims to summarize the applications of AI in the management of AVMs management.</p><p><strong>Methods: </strong>Literatures published in PubMed during 1999-2022, discussing AI application in AVMs management were reviewed.</p><p><strong>Results: </strong>AI algorithms have been applied in various aspects of AVM management, particularly in machine learning and deep learning models. Automatic lesion segmentation or delineation is a promising application that can be further developed and verified. Prognosis prediction using machine learning algorithms with radiomic-based analysis is another meaningful application.</p><p><strong>Conclusions: </strong>AI has been widely used in AVMs management. This article summarizes the current research progress, limitations and future research directions.</p>","PeriodicalId":49174,"journal":{"name":"Interventional Neuroradiology","volume":" ","pages":"15910199241238798"},"PeriodicalIF":1.5000,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11571152/pdf/","citationCount":"0","resultStr":"{\"title\":\"Application of artificial intelligence in brain arteriovenous malformations: Angioarchitectures, clinical symptoms and prognosis prediction.\",\"authors\":\"Xiangyu Li, Sishi Xiang, Guilin Li\",\"doi\":\"10.1177/15910199241238798\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Artificial intelligence (AI) has rapidly advanced in the medical field, leveraging its intelligence and automation for the management of various diseases. Brain arteriovenous malformations (AVM) are particularly noteworthy, experiencing rapid development in recent years and yielding remarkable results. This paper aims to summarize the applications of AI in the management of AVMs management.</p><p><strong>Methods: </strong>Literatures published in PubMed during 1999-2022, discussing AI application in AVMs management were reviewed.</p><p><strong>Results: </strong>AI algorithms have been applied in various aspects of AVM management, particularly in machine learning and deep learning models. Automatic lesion segmentation or delineation is a promising application that can be further developed and verified. Prognosis prediction using machine learning algorithms with radiomic-based analysis is another meaningful application.</p><p><strong>Conclusions: </strong>AI has been widely used in AVMs management. This article summarizes the current research progress, limitations and future research directions.</p>\",\"PeriodicalId\":49174,\"journal\":{\"name\":\"Interventional Neuroradiology\",\"volume\":\" \",\"pages\":\"15910199241238798\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11571152/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Interventional Neuroradiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/15910199241238798\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interventional Neuroradiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15910199241238798","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Application of artificial intelligence in brain arteriovenous malformations: Angioarchitectures, clinical symptoms and prognosis prediction.
Background: Artificial intelligence (AI) has rapidly advanced in the medical field, leveraging its intelligence and automation for the management of various diseases. Brain arteriovenous malformations (AVM) are particularly noteworthy, experiencing rapid development in recent years and yielding remarkable results. This paper aims to summarize the applications of AI in the management of AVMs management.
Methods: Literatures published in PubMed during 1999-2022, discussing AI application in AVMs management were reviewed.
Results: AI algorithms have been applied in various aspects of AVM management, particularly in machine learning and deep learning models. Automatic lesion segmentation or delineation is a promising application that can be further developed and verified. Prognosis prediction using machine learning algorithms with radiomic-based analysis is another meaningful application.
Conclusions: AI has been widely used in AVMs management. This article summarizes the current research progress, limitations and future research directions.
期刊介绍：
Interventional Neuroradiology (INR) is a peer-reviewed clinical practice journal documenting the current state of interventional neuroradiology worldwide. INR publishes original clinical observations, descriptions of new techniques or procedures, case reports, and articles on the ethical and social aspects of related health care. Original research published in INR is related to the practice of interventional neuroradiology...
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