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Showing 41 - 60 results of 100 for search 'variable valve aiming', query time: 0.10s Refine Results
  1. 41

    Exploring Imaging Depth: A Pilot Study About 2D vs. 4D Echocardiography for Tricuspid Valve Evaluation by Giuseppe Santarpino, Giovanni Taverna, Vincenzo Calabrese, Flavia Coviello, Giancarlo Trimarchi, Olimpia Trio, Corrado Fiore, Giuseppe Andò, Giuseppe Nasso, Giuseppe Speziale

    Published 2025-05-01
    “…Background: The tricuspid valve (TV) is a complex three-dimensional (3D) anatomical structure; however, current guidelines recommend tricuspid annulus (TA) measurements to be performed with two-dimensional (2D) echocardiography. …”
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  2. 42

    Resultados de procedimientos híbridos de cirugía coronaria e implante transcatéter de la válvula aórtica concomitante by Carlos Domínguez-Massa, Tomás Heredia-Cambra, Juan Bautista Martínez-León

    Published 2025-07-01
    “…Se utilizaron los parámetros unificados del Valve Academic Research Consortium 3 (VARC-3). Resultados: Respecto a las variables preoperatorias, se encontraron diferencias estadísticamente significativas en la edad media (77,89 ± 5,91 años en el grupo TAVI respecto a 70,33 ± 5,48 años en el grupo de cirugía convencional; p < 0,001), y en la tasa de vasculopatía (63,2% respecto a 25%; p = 0,012). …”
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  3. 43

    Analyzing Key Predictors of Postoperative Delirium Following Coronary Artery Bypass Grafting and Aortic Valve Replacement: A Machine Learning Perspective by Marija Stošić, Velimir Perić, Dragan Milić, Milan Lazarević, Jelena Živadinović, Vladimir Stojiljković, Aleksandar Kamenov, Aleksandar Nikolić, Mlađan Golubović

    Published 2025-05-01
    “…This study aimed to improve POD prediction using an interpretable machine learning approach and to explore the combined effects of clinical, biochemical, and perioperative variables. …”
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  4. 44

    A Prediction Model of Stable Warfarin Doses in Patients After Mechanical Heart Valve Replacement Based on a Machine Learning Algorithm by Bowen Guo, Cong Chen, Junhang Jia, Jubing Zheng, Yue Song, Taoshuai Liu, Kui Zhang, Yang Li, Ran Dong

    Published 2025-06-01
    “…This study aimed to combine clinical and genetic characteristics with machine learning (ML) algorithms to develop and validate a model for predicting stable warfarin doses in patients from Northern China after mechanical heart valve replacement surgery. …”
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  7. 47

    Clinical factors associated with severe coronary stenosis in patients undergoing cardiac surgery by Rui Wang, Wei Gao, Xinyu Che, Ruopei Shen, Chunfeng Dai, Yan Xia, Ao Chen, Danbo Lu, Jiaqi Ma, Hungju Chen, Chenguang Li, Zhangwei Chen, Juying Qian, Junbo Ge

    Published 2025-05-01
    “…Conclusion We developed and validated a scoring system based on six clinical variables to predict severe coronary stenosis in patients undergoing valve surgeries. …”
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    Article
  8. 48

    Preoperative Prediction Models for 30‐Day All‐Cause Mortality After Mitral Valve Repair in Dogs: A Single‐Center Retrospective Cohort Study by Shimon Furusato, Kentaro Kurogochi, Masashi Mizuno, Satoru Shinoda, Reo Tanoshima, Masami Uechi

    Published 2025-07-01
    “…ABSTRACT Background Mitral valve repair (MVR) has emerged as a novel surgical intervention for dogs with myxomatous mitral valve disease (MMVD). …”
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  9. 49

    A hydraulic control system integrating adaptive and PWM algorithms for hydro-mechanical continuously variable transmission by Jingjun Cui

    Published 2024-11-01
    “…IntroductionWith the development of technology, the hydraulic control system for hydro-mechanical continuously variable transmission has also made rapid progress. …”
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  11. 51

    THE INFLUENCE OF HEART RATE VARIABILITY ON CLINICAL COURSE OF CHRONIC HEART FAILURE AND RENAL FUNCTION IN ATRIAL FIBRILLATION PATIENTS by E. A. Polyanskaya, S. V. Mironova, N. A. Koziolova

    Published 2018-03-01
    “…Aim. Evaluation of structural and functional condition of the left ventricle (LV) and kidneys in permanent atrial fibrillation patients (AF) with ischemic chronic heart failure (CHF) according to mean 24 hour heart rate and heart rate variability.Material and methods. …”
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  12. 52

    Comparison of different surgical approaches for ascending aortic surgery with or without aortic valve involvement: Right anterior minithoracotomy versus conventional median sternot... by Mustafa Serkan Durdu, MD, PhD, Fatih Gümüş, MD, Cengiz Bolcal, MD

    Published 2024-12-01
    “…Objectives: Minimally invasive approach to cardiac surgery has been steadily developing and increasingly being performed since the early 1990s. We aimed to present our initial clinical experience and show the feasibility and safety of the right anterior minithoracotomy (RAT) approach for ascending aorta surgery with or without aortic valve involvement. …”
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  13. 53

    Structural strength optimization design of ultra-high-pressure and ultra-wear-resistant pneumatic ball valve opened and closed at large explosion instantaneously using finite eleme... by Xianmei Liu, Mingcun Zhang

    Published 2025-07-01
    “…Abstract Aiming at the problem that large-scale ultra-high-pressure pneumatic ball valves opened and closed at large explosion instantaneously are prone to fatigue failure due to dynamic stress concentration under transient impact loads, this study proposes a multi-physics field coupling structural strength optimization design method based on finite element method. …”
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  16. 56

    Machine learning in assessing the association between the size and structure of the ascending aortic wall in patients with aortic dilatation of varying severity by V. E. Uspenskiy, V. L. Saprankov, V. I. Mazin, D. G. Zavarzina, A. B. Malashicheva, O. B. Irtyuga, O. M. Moiseeva, M. L. Gordeev

    Published 2023-11-01
    “…Aim. To assess the association between pathological ascending aortic (AA) wall changes and its planimetric characteristics in non-syndromic non-familial (sporadic) aneurysm and dilation of the AA.Material and methods. …”
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  17. 57

    Feasibility Assessment of Novel Multi-Mode Camshaft Design Through Modal Analysis by Merve Üngör, Osman Taha Sen, Akif Yavuz, Cemal Baykara

    Published 2025-05-01
    “…The proposed mechanism offers enhanced flexibility by integrating multiple valve actuation methods, including Variable Valve Timing (VVT), Variable Valve Lift (VVL), Variable Valve Duration (VVD), Cylinder Deactivation, and Skip Cycle methods into a single camshaft for the first time in the literature. …”
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  18. 58

    Multimodal Visualization and Explainable Machine Learning–Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With... by Jun Wang, Jiajun Zhu, Hui Li, Shili Wu, Siyang Li, Zhuoya Yao, Tongjian Zhu, Bi Tang, Shengxing Tang, Jinjun Liu

    Published 2025-05-01
    “… BackgroundCurrently, there is a paucity of literature addressing personalized risk stratification using multimodal data in patients with symptomatic aortic stenosis and heart failure with preserved ejection fraction (HFpEF) following transcatheter aortic valve replacement (TAVR). ObjectiveThis study aimed to enhance the performance of risk assessment models in this patient population by developing a predictive model for adverse outcomes using various machine learning (ML) techniques. …”
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  19. 59

    Liver transplantation outcomes in patients with primary tricuspid regurgitation with coaptation defects: a retrospective analysis in a high-volume transplant center by Kyoung-Sun Kim, Sun-Young Ha, Seong-Mi Yang, Hye-Mee Kwon, Sung-Hoon Kim, In-Gu Jun, Jun-Gol Song, Gyu-Sam Hwang

    Published 2025-06-01
    “…Patients were categorized based on the presence of anatomical TVI, specifically defined by incomplete coaptation, coaptation failure, prolapse, and flail leaflets of tricuspid valve (TV). Propensity score (PS)-based inverse probability weighting (IPW) was used to balance clinical and cardiovascular risk variables. …”
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