Results 1 to 10 of about 41,384 (120)
Predicting post-operative right ventricular failure using video-based deep learning [PDF]
Nat Commun 12, 5192 (2021), 2021 Non-invasive and cost effective in nature, the echocardiogram allows for a comprehensive assessment of the cardiac musculature and valves. Despite progressive improvements over the decades, the rich temporally resolved data in echocardiography videos remain underutilized. Human reads of echocardiograms reduce the complex patterns of cardiac wall motion,
arxiv +1 more source
Cardiac Failure and Benzodiazepines [PDF]
Sleep, 1993 Nine patients with stable cardiac failure and mean left ventricular ejection fraction of 30% were investigated. All had previously been prescribed a benzodiazepine hypnotic by their home physicians, but the medication had been discontinued for at least 1 month.
Riccardo Stoohs +4 more
openaire +3 more sources
Hypocalcaemic cardiac failure [PDF]
Postgraduate Medical Journal, 1978 SummaryA 35-year-old patient who presented with recurrent chest infection, pulmonary oedema and cardiac failure was found to be grossly hypocalcaemic owing to previously undiagnosed hypoparathyroidism. The cardiac failure was not easily relieved by digoxin and diuretics but it quickly responded when the plasma calcium was restored to normal with ...
D. P. Brenton +2 more
openaire +2 more sources
WarpPINN: Cine-MR image registration with physics-informed neural networks [PDF]
, 2022 Heart failure is typically diagnosed with a global function assessment, such as ejection fraction. However, these metrics have low discriminate power, failing to distinguish different types of this disease. Quantifying local deformations in the form of cardiac strain can provide helpful information, but it remains a challenge.
arxiv +1 more source
Cardiac Rehabilitation in Heart Failure [PDF]
International Journal of Heart Failure, 2021 Heart failure (HF) is a complex clinical syndrome caused by a structural and/or functional cardiac abnormality, resulting in reduced organ perfusion. The goals of treatment in patients with HF are to improve functional capacity and quality of life, and to reduce mortality.
Kyeong-hyeon Chun, Seok-Min Kang
openaire +2 more sources
A dynamic risk score for early prediction of cardiogenic shock using machine learning [PDF]
arXiv, 2023 Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the US. The morbidity and mortality are highest among patients who develop cardiogenic shock. Early recognition of cardiogenic shock is critical.
arxiv
Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation [PDF]
, 2022 Objective: To develop prognostic survival models for predicting adverse outcomes after catheter ablation treatment for non-valvular atrial fibrillation (AF). Methods: We used a linked dataset including hospital administrative data, prescription medicine claims, emergency department presentations, and death registrations of patients in New South Wales,
arxiv +1 more source
The Economics of Cardiac Failure [PDF]
Journal of the Royal Society of Medicine, 1996 Quality assurance and inclusion of prospective evaluation of costs of treatment in phase 3 and 4 pharmaceutical trials are becoming increasingly important. Not only high technology applications have to be investigated, but also relatively cheap but very common strategies for diagnostic work up and therapy. This may yield major savings.
openaire +3 more sources
Simulating Cardiac Fluid Dynamics in the Human Heart [PDF]
arXiv, 2023 Cardiac fluid dynamics fundamentally involves interactions between complex blood flows and the structural deformations of the muscular heart walls and the thin, flexible valve leaflets. There has been longstanding scientific, engineering, and medical interest in creating mathematical models of the heart that capture, explain, and predict these fluid ...
arxiv
Automatic segmentation with detection of local segmentation failures in cardiac MRI [PDF]
currently under press - Scientific Reports (2020), 2020 Segmentation of cardiac anatomical structures in cardiac magnetic resonance images (CMRI) is a prerequisite for automatic diagnosis and prognosis of cardiovascular diseases. To increase robustness and performance of segmentation methods this study combines automatic segmentation and assessment of segmentation uncertainty in CMRI to detect image regions
arxiv