Results 101 to 110 of about 37,864 (312)
A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records [PDF]
arXiv, 2016 Rare diseases are very difficult to identify among large number of other possible diagnoses. Better availability of patient data and improvement in machine learning algorithms empower us to tackle this problem computationally. In this paper, we target one such rare disease - cardiac amyloidosis.
arxiv
Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction [PDF]
arXiv, 2021 Electrical conduction among cardiac tissue is commonly modeled with partial differential equations, i.e., reaction-diffusion equation, where the reaction term describes cellular stimulation and diffusion term describes electrical propagation. Detecting and identifying of cardiac cells that produce abnormal electrical impulses in such nonlinear dynamic ...
arxiv
Vascular Health and Risk Management, 2021 Grigorios Korosoglou,1,2 Sorin Giusca,1,2 Florian André,3,4 Fabian aus dem Siepen,3,4 Peter Nunninger,5 Arnt V Kristen,3,6 Norbert Frey3,4 1GRN Hospital Weinheim, Department of Cardiology, Vascular Medicine and Pneumology, Weinheim, Germany; 2Cardiac ...
Korosoglou G +6 more
doaj
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care [PDF]
arXiv, 2023 Current deep learning algorithms designed for automatic ECG analysis have exhibited notable accuracy. However, akin to traditional electrocardiography, they tend to be narrowly focused and typically address a singular diagnostic condition. In this exploratory study, we specifically investigate the capability of a single model to predict a diverse range
arxiv
Advancing diagnostics and therapy in transthyretin amyloid cardiomyopathy
ESC Heart Failure, EarlyView.
Katarzyna Holcman, Michał Tkaczyszyn
wiley +1 more source
ESC Heart Failure, EarlyView.Abstract Aims Electron microscopy reveals microstructural alterations in cardiomyocyte nuclei and myofilaments in non‐ischaemic cardiomyopathy (NICM), particularly in dilated cardiomyopathy (DCM). Nevertheless, the correlation between such observations and clinical outcomes, including prognosis and left ventricular reverse remodelling (LVRR), remains ...
Rie Higuchi +19 more
wiley +1 more source
Technetium-99m pyrophosphate cardiac SPECT in endomyocardial biopsy negative cardiac amyloidosis
Radiology Case Reports, 2018 Cardiac amyloidosis is an under-appreciated cause of heart failure. Establishing a diagnosis is important because traditional heart failure treatment regimens can worsen left ventricular failure in this disease. Endomyocardial biopsy is the gold standard
Martin Krupa, MD +3 more
doaj
ESC Heart Failure, EarlyView.Abbreviations: TAVI, transcatheter aortic valve implantation; ATTR‐CM, transthyretin cardiac amyloidosis. We aimed to diagnose occult ATTR‐CM in patients with severe aortic stenosis undergoing TAVI using bone scintigraphy. We verified a diagnosis of ATTR‐CM in 8 of 171 (4.7 %) consecutive aortic stenosis patients who underwent TAVI.
Margrethe Flesvig Holt +15 more
wiley +1 more source
Cardiac Structural and Functional Consequences of Amyloid Deposition by Cardiac Magnetic Resonance and Echocardiography and Their Prognostic Roles [PDF]
, 2019 OBJECTIVES: This cross-sectional study aimed to describe the functional and structural cardiac abnormalities that occur across a spectrum of cardiac amyloidosis burden and to identify the strongest cardiac functional and structural prognostic predictors ...
Abdel-Gadir, A +19 more
core
Multi-Imaging Characterization of Cardiac Phenotype in Different Types of Amyloidosis [PDF]
, 2022 BACKGROUND: Bone scintigraphy is extremely valuable when assessing patients with suspected cardiac amyloidosis (CA), but the clinical significance and associated phenotype of different degrees of cardiac uptake across different types is yet to be defined.
Brown, James +19 more
core