Andrew Lin, Konrad Pieszko, Caroline Park, Katarzyna Ignor, Michelle C Williams, Piotr Slomka, Damini Dey
{"title":"心血管成像中的人工智能：增强图像分析和风险分层。","authors":"Andrew Lin, Konrad Pieszko, Caroline Park, Katarzyna Ignor, Michelle C Williams, Piotr Slomka, Damini Dey","doi":"10.1259/bjro.20220021","DOIUrl":null,"url":null,"abstract":"<p><p>In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including CT, MRI, echocardiography, and nuclear myocardial perfusion imaging.</p>","PeriodicalId":72419,"journal":{"name":"BJR open","volume":"5 1","pages":"20220021"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311632/pdf/","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification.\",\"authors\":\"Andrew Lin, Konrad Pieszko, Caroline Park, Katarzyna Ignor, Michelle C Williams, Piotr Slomka, Damini Dey\",\"doi\":\"10.1259/bjro.20220021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including CT, MRI, echocardiography, and nuclear myocardial perfusion imaging.</p>\",\"PeriodicalId\":72419,\"journal\":{\"name\":\"BJR open\",\"volume\":\"5 1\",\"pages\":\"20220021\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311632/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BJR open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1259/bjro.20220021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BJR open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1259/bjro.20220021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification.
In this review, we summarize state-of-the-art artificial intelligence applications for non-invasive cardiovascular imaging modalities including CT, MRI, echocardiography, and nuclear myocardial perfusion imaging.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
