Results 131 to 140 of about 934,412 (371)
Advanced Intelligent Systems, EarlyView.Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation [PDF]
, 2021 Cai Wu +8 more
openalex +1 more source
Advanced Intelligent Systems, EarlyView.This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Clinical–Radiological Spectrum of Cerebral Amyloid Angiopathy‐Related Inflammation
Annals of Neurology, EarlyView.Objective To identify clinical and radiological features of cerebral amyloid angiopathy‐related inflammation (CAA‐ri), and compare these features with those of sporadic CAA, to improve the understanding, diagnosis, and clinical care of CAA‐ri. Methods We retrospectively reviewed routine clinical data from 37 patients with CAA‐ri and 158 patients with ...
Larysa Panteleienko +9 more
wiley +1 more source
Annals of Neurology, EarlyView.Objective The objective of this study was to test if blood–brain barrier (BBB) disruption, detected using dynamic susceptibility contrast (DSC) imaging, would predict progression of white matter hyperintensities (WMHs) over the subsequent year in patients with chronic cerebrovascular disease. Methods The study included patients with a history of stroke
Richard Leigh +4 more
wiley +1 more source
The search for atrial fibrillation and its impact on public health
Swiss Medical Weekly, 2017 Atrial fibrillation may be clearly symptomatic and is easily amenable to state-of-the-art treatment, most importantly oral anticoagulation therapy for the prevention of thromboembolism.
Anna Lam, Eleni Goulouti, Laurent Roten
doaj +1 more source
Atrial Fibrillation Detection Based on a Residual CNN Using BCG Signals [PDF]
, 2022 Qiushi Su +5 more
openalex +1 more source
Annals of Neurology, EarlyView.Objective Identifying modifiable factors influencing amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) risk is important for prevention. Blood biomarkers, particularly cholesterol, have been associated with neurodegenerative risk, but findings in ALS are inconsistent, and data on FTD are limited.
Christos V. Chalitsios +5 more
wiley +1 more source
Antithrombotic Therapy after Acute Coronary Syndrome or PCI in Atrial Fibrillation
New England Journal of Medicine, 2019 BACKGROUND Appropriate antithrombotic regimens for patients with atrial fibrillation who have an acute coronary syndrome or have undergone percutaneous coronary intervention (PCI) are unclear. METHODS In an international trial with a two‐by‐two factorial
R. Lopes +21 more
semanticscholar +1 more source
Real-practice thromboprophylaxis in atrial fibrillation [PDF]
, 2017 This retrospective observational study was based on databases of the Local Health Authority of Treviso, Italy. It evaluated the prevalence and the effectiveness of oral anticoagulation treatment (OAT) for the management of nonvalvular atrial fibrillation
Bettiol, Alessandra +8 more
core +2 more sources