Results 241 to 250 of about 11,293,345 (337)

Long-term prognostic value of myocardial work analysis across obesity stages: insights from a community-based study. [PDF]

Int J Obes (Lond)
Bakija FZ, Tolvaj M, Szijártó Á, Tokodi M, Ferencz A, Lakatos BK, Ladányi Z, Kiss L, Szelid Z, Soós P, Merkely B, Bagyura Z, Kovács A, Fábián A.   +13 more
europepmc   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

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, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Right Ventricular Myocardial Work Predicts Pulmonary Capillary Wedge Pressure Rise During Exercise in Heart Failure. [PDF]

JACC Adv
Huang KC, Lin TT, Lin LC, Lin LY, Wu CK.
europepmc   +1 more source

MYOCARDIAL INFARCTION AND STROKE: 16-YEAR RISK AND STRESS AT WORK IN OPEN POPULATION OF 25–64-YEAR-OLD WOMEN IN RUSSIA/SIBERIA (WHO MONICA–PSYCHOSOCIAL PROGRAM)

, 2016
В. В. Гафаров, D. Panov, Е. А. Громова, И. В. Гагулин, А. В. Гафарова   +4 more
openalex   +2 more sources

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

The impact of hypercortisolism beyond metabolic syndrome on left ventricular performance: a myocardial work analysis. [PDF]

Cardiovasc Diabetol
Sahiti F, Detomas M, Cejka V, Hoffmann K, Gelbrich G, Frantz S, Kroiss M, Heuschmann PU, Hahner S, Fassnacht M, Deutschbein T, Störk S, Morbach C.   +12 more
europepmc   +1 more source

Correlation between myocardial work and disease activity in rheumatoid arthritis patients with preserved left ventricular ejection fraction: a retrospective study based on non-invasive pressure-strain loop左心室射血分数保留的类风湿性关节炎患者心肌功与疾病活动度的相关性：一项基于无创压力-应变回路的回顾性研究 [PDF]

Xiaolong Yu, Jing Xi, Jiabiao Wu, Ruixiao Song   +3 more
openalex   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

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, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Assessment of myocardial work in sarcomere gene mutation carriers, healthy controls and overt nonobstructive hypertrophic cardiomyopathy. [PDF]

Echo Res Pract
Pires CM, Joy G, Triantafyllou M, Monteiro RP, Ferreira A, Savvatis K, Lopes LR.   +6 more
europepmc   +2 more sources