{"title":"利用MRI和深度学习人工智能改善缺血性脑卒中护理。","authors":"Yannan Yu, Jeremy J Heit, Greg Zaharchuk","doi":"10.1097/RMR.0000000000000290","DOIUrl":null,"url":null,"abstract":"<p><strong>Abstract: </strong>Advanced magnetic resonance imaging has been used as selection criteria for both acute ischemic stroke treatment and secondary prevention. The use of artificial intelligence, and in particular, deep learning, to synthesize large amounts of data and to understand better how clinical and imaging data can be leveraged to improve stroke care promises a new era of stroke care. In this article, we review common deep learning model structures for stroke imaging, evaluation metrics for model performance, and studies that investigated deep learning application in acute ischemic stroke care and secondary prevention.</p>","PeriodicalId":39381,"journal":{"name":"Topics in Magnetic Resonance Imaging","volume":"30 4","pages":"187-195"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence.\",\"authors\":\"Yannan Yu, Jeremy J Heit, Greg Zaharchuk\",\"doi\":\"10.1097/RMR.0000000000000290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Abstract: </strong>Advanced magnetic resonance imaging has been used as selection criteria for both acute ischemic stroke treatment and secondary prevention. The use of artificial intelligence, and in particular, deep learning, to synthesize large amounts of data and to understand better how clinical and imaging data can be leveraged to improve stroke care promises a new era of stroke care. In this article, we review common deep learning model structures for stroke imaging, evaluation metrics for model performance, and studies that investigated deep learning application in acute ischemic stroke care and secondary prevention.</p>\",\"PeriodicalId\":39381,\"journal\":{\"name\":\"Topics in Magnetic Resonance Imaging\",\"volume\":\"30 4\",\"pages\":\"187-195\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Topics in Magnetic Resonance Imaging\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/RMR.0000000000000290\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Topics in Magnetic Resonance Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/RMR.0000000000000290","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence.
Abstract: Advanced magnetic resonance imaging has been used as selection criteria for both acute ischemic stroke treatment and secondary prevention. The use of artificial intelligence, and in particular, deep learning, to synthesize large amounts of data and to understand better how clinical and imaging data can be leveraged to improve stroke care promises a new era of stroke care. In this article, we review common deep learning model structures for stroke imaging, evaluation metrics for model performance, and studies that investigated deep learning application in acute ischemic stroke care and secondary prevention.
期刊介绍:
Topics in Magnetic Resonance Imaging is a leading information resource for professionals in the MRI community. This publication supplies authoritative, up-to-the-minute coverage of technical advances in this evolving field as well as practical, hands-on guidance from leading experts. Six times a year, TMRI focuses on a single timely topic of interest to radiologists. These topical issues present a variety of perspectives from top radiological authorities to provide an in-depth understanding of how MRI is being used in each area.