A5006387543- Cardiovascular Function and Risk Factors
- Cardiac Imaging and Diagnostics
- Cardiac Valve Diseases and Treatments
- Acute Myocardial Infarction Research
- Elasticity and Material Modeling
- Cardiac pacing and defibrillation studies
- Uterine Myomas and Treatments
- Cardiomyopathy and Myosin Studies
- Ultrasound in Clinical Applications
- Atrial Fibrillation Management and Outcomes
- Cardiac Structural Anomalies and Repair
- Cardiovascular Health and Disease Prevention
- Gynecological conditions and treatments
- Endometriosis Research and Treatment
- Hemodynamic Monitoring and Therapy
- Heart Failure Treatment and Management
Center for Innovation
2024-2025
Oslo University Hospital
2021-2025
University of Oslo
2020-2024
Hospital of Southern Norway
2020-2023
Sørlandet Sykehus
2020-2021
Sørlandet Hospital Arendal
2021
Maternité Port Royal
2004
This study sought to examine if fully automated measurements of global longitudinal strain (GLS) using a novel motion estimation technology based on deep learning and artificial intelligence (AI) are feasible comparable with conventional speckle-tracking application. GLS is an important parameter when evaluating left ventricular function. However, analyses time consuming demand expertise, thus underused in clinical practice. In this study, 200 patients wide range ventricle (LV) function were...
Volume and ejection fraction (EF) measurements of the left ventricle (LV) in 2-D echocardiography are associated with a high uncertainty not only due to interobserver variability manual measurement, but also ultrasound acquisition errors such as apical foreshortening. In this work, real-time fully automated EF measurement foreshortening detection method is proposed. The uses several deep learning components, view classification, cardiac cycle timing, segmentation landmark extraction, measure...
Deformation imaging in echocardiography has been shown to have better diagnostic and prognostic value than conventional anatomical measures such as ejection fraction. However, despite clinical availability demonstrated efficacy, everyday use remains limited at many hospitals. The reasons are complex, but practical robustness questioned, a large inter-vendor variability demonstrated. In this work, we propose novel deep learning based framework for motion estimation echocardiography, fully...
Our objective was to compare long-term outcomes in patients with non-ST-elevation myocardial infarction (NSTEMI) and ST-elevation (STEMI) between two time periods Southern Norway. There are limited contemporary data comparing follow-up after revascularization the last decades. This prospective study consecutively included both NSTEMI STEMI during periods, 2014-2015 2004-2009. Patients were followed up for a period of 5 years. The primary outcome all-cause mortality 1 A total 539 acute (AMI),...
Abstract Background Evaluation of left ventricular (LV) function by strain echocardiography and mechanical dispersion (MD) has demonstrated improved prediction arrhythmia in patients with heart failure (HF) reduced ejection fraction. However, analyzing MD is both time consuming operator dependent, thus its clinical use remains limited. Fully automated measurements using a novel deep learning (DL) method may be solution to facilitate implementation. Purpose We aimed validate DL based for...
The prognostic value of left atrial (LA) volume is well-established in acute myocardial infarction (AMI) patients. LA strain provides further patophysological insights. In the present study, we evaluated and AMI patients including those with fibrillation (AF). aim study was to determine if provide additional value. Patients underwent two-dimensional echocardiography within 72 h admission. primary outcome a composite all-cause mortality major adverse cardiovascular events. Cox regression...
Abstract Background The left atrial (LA) volume has been demonstrated to be an important predictor of adverse outcome in patients with various cardiac conditions, including acute myocardial infarction (AMI). However, new treatment strategies AMI have led better patient outcomes. We hypothesised that increased LA size could still predict mortality despite improved strategies. Methods included a prospective multicenter cohort study and the were enrolled from 2014 2022. recorded...
Abstract Funding Acknowledgements The Norwegian Health Association, South-Eastern Norway regional health Authority and the national program for clinical therapy research (KLINBEFORSK). Background Global longitudinal strain (GLS) by echocardiography has incremental prognostic value in patients with acute myocardial infarction heart failure compared to left ventricular (LV) ejection fraction provides more reproducible measurements of LV function. Recent advances machine learning image analysis...
Abstract Background Assessment of left ventricular (LV) myocardial deformation by strain echocardiography has shown improved prognostic value over LV ejection fraction (LVEF). Mechanical dispersion (MD) reflects heterogeneity. Also, MD is a marker arrhythmia (VA) that improves risk prediction independently LVEF in patients with heart failure. However, to analyze time consuming and operator-dependent, clinical use remains limited. Purpose We aimed investigate the performance novel deep...
Abstract Background The DANISH study published in 2016 indicated limited benefit of primary prevention implantable cardioverter-defibrillator (ICD) patients with non-ischemic dilated cardiomyopathy (niDCM). We aimed to investigate the long-term outcome and incidence ICD therapy niDCM implanted on indication during 2014-2022. Methods A total 116 were prospectively included for implantation between 2014 2022 multicenter IMPROVE (clinical trials NCT02286908). All examined electrocardiogram,...
Background: Manual volume measurement of the left atrium (LA) using two-dimensional (2D) imaging is time consuming and mainly produces volumetric information. Hypothesis: LA chamber quantification by semi-automated four-dimensional (4D) may be more efficient both comprehensive functional analysis. Methods: Fifty subjects from Healthy eHeart cohort normal echocardiograms studied at Research Cardiac Physiology Laboratory were selected representative volumes. Studies performed on a GE Vivid...