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Current Cardiovascular Risk Reports最新文献

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Patient Selection for Biventricular Cardiac Resynchronization Therapy, His Bundle Pacing, and Left Bundle Branch Pacing 双心室心脏再同步治疗、His束起搏和左束支起搏的患者选择
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-10-26 DOI: 10.1007/s12170-021-00684-6
David J Sanders, Kousik Krishnan
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引用次数: 0
Artificial Intelligence in Computer Vision: Cardiac MRI and Multimodality Imaging Segmentation. 计算机视觉中的人工智能:心脏磁共振成像和多模态成像分割。
IF 2 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-09-01 Epub Date: 2021-08-04 DOI: 10.1007/s12170-021-00678-4
Alan C Kwan, Gerran Salto, Susan Cheng, David Ouyang

Purpose of review: Anatomical segmentation has played a major role within clinical cardiology. Novel techniques through artificial intelligence-based computer vision have revolutionized this process through both automation and novel applications. This review discusses the history and clinical context of cardiac segmentation to provide a framework for a survey of recent manuscripts in artificial intelligence and cardiac segmentation. We aim to clarify for the reader the clinical question of "Why do we segment?" in order to understand the question of "Where is current research and where should be?".

Recent findings: There has been increasing research in cardiac segmentation in recent years. Segmentation models are most frequently based on a U-Net structure. Multiple innovations have been added in terms of pre-processing or connection to analysis pipelines. Cardiac MRI is the most frequently segmented modality, which is due in part to the presence of publically-available, moderately sized, computer vision competition datasets. Further progress in data availability, model explanation, and clinical integration are being pursued.

Summary: The task of cardiac anatomical segmentation has experienced massive strides forward within the past five years due to convolutional neural networks. These advances provide a basis for streamlining image analysis, and a foundation for further analysis both by computer and human systems. While technical advances are clear, clinical benefit remains nascent. Novel approaches may improve measurement precision by decreasing inter-reader variability and appear to also have the potential for larger-reaching effects in the future within integrated analysis pipelines.

综述目的:解剖分割在临床心脏病学中发挥了重要作用。基于人工智能的计算机视觉新技术通过自动化和新应用彻底改变了这一过程。这篇综述讨论了心脏分割的历史和临床背景,为近期人工智能和心脏分割领域的手稿调查提供了一个框架。我们旨在为读者澄清 "我们为什么要进行分割?"这一临床问题,从而理解 "当前的研究在哪里,应该在哪里?"这一问题:近年来,有关心脏分割的研究日益增多。细分模型大多基于 U-Net 结构。在预处理或与分析流水线的连接方面也有多种创新。心脏核磁共振成像是最常见的分段模式,部分原因是存在公开的、中等规模的计算机视觉竞赛数据集。摘要:由于卷积神经网络的出现,心脏解剖分割任务在过去五年中取得了巨大进步。这些进步为简化图像分析提供了基础,也为计算机和人类系统的进一步分析奠定了基础。虽然技术进步是显而易见的,但临床效益仍处于起步阶段。新方法可以通过减少读片者之间的差异来提高测量精度,而且似乎还有可能在未来的综合分析管道中产生更大的影响。
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引用次数: 0
Dietary and Lifestyle Modification for the Prevention and Treatment of Hypertension 改变饮食和生活方式预防和治疗高血压
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-08-10 DOI: 10.1007/s12170-021-00683-7
Michael R. Goetsch, Anjali A Wagle, Evangelia Valilis, A. Razavi, J. McEvoy, R. Blumenthal, S. Whelton
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引用次数: 0
Esophageal Injury and Progression to Atrial-Esophageal Fistula in Catheter Ablation for Atrial Fibrillation 心房颤动导管消融治疗食管损伤及进展为心房食管瘘
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-08-05 DOI: 10.1007/s12170-021-00681-9
Nashwa M Abdulsalam, N. Akoum
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引用次数: 0
An Update on Catheter-Based Renal Denervation for the Treatment of Hypertension 导管肾去神经治疗高血压的最新进展
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-08-05 DOI: 10.1007/s12170-021-00682-8
Sterling A. Wheaten, Jian-dong Zhang, G. Stouffer
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引用次数: 0
Practical Tools for Assessing Diet Quality in Clinical Settings 临床环境中评估饮食质量的实用工具
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-07-08 DOI: 10.1007/s12170-021-00677-5
S. Connor, J. Irani
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引用次数: 0
The Impact of Dairy Intake on Adiposity and Satiety in Adults 乳制品摄入对成人肥胖和饱腹感的影响
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-06-20 DOI: 10.1007/s12170-021-00676-6
Julie M. Hess
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引用次数: 0
My Approach to Sudden Death Risk Evaluation in Athletes, Who Should Play and Who Can Return to Play? 我对运动员猝死风险评估的方法,谁应该参加比赛,谁可以重返赛场?
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-06-09 DOI: 10.1007/s12170-021-00675-7
Eugene H. Chung, G. Shantha
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引用次数: 0
Unintentional Weight Loss as a Marker of Malignancy Across Body Weight Categories 非故意体重减轻是体重类别中恶性肿瘤的标志
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-06-03 DOI: 10.1007/s12170-021-00674-8
J. Hue, Kelsey E Ufholz, J. Winter, S. Markt
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引用次数: 0
Risk Factor Management in Atrial Fibrillation: How to Deliver a Successful Clinic 房颤的危险因素管理:如何提供一个成功的诊所
IF 1.9 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Pub Date : 2021-05-27 DOI: 10.1007/s12170-021-00671-x
C. Gallagher, J. Fitzgerald, M. Stokes, J. Noubiap, A. Elliott, J. Hendriks, M. Middeldorp, P. Sanders, D. Lau
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引用次数: 2
期刊
Current Cardiovascular Risk Reports
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