Results 201 to 210 of about 42,441 (299)

Beyond Traditional Screening: The Future of Heart Failure Detection With Biomarkers and AI

iNew Medicine, EarlyView.
Advancing HF Screening: Integrating Technology and Risk Factors Across Eras. This diagram provides a comprehensive review of the historical developments and projected trends of heart failure (HF) screening methodologies, with the prevalent risk factors for HF depicted at the base.
Xiaofeng Fang, Yinbo Xu, Yiting Zhao, Liuyi Li, Zhengyi Cheng, Zhongqi Zhang, Yuhang Luo, Qiaoling Liu, Chen Gong, Shichun Shen   +9 more
wiley   +1 more source

Management of Ventricular Arrhythmias in Patients with Left Ventricular Assist Devices: Pathophysiology, Risk Stratification, and Ablation Strategies. [PDF]

J Clin Med
Sgarito G, Campo F, Sciacca S, Pilato M, Cipriani M, Conti S.   +5 more
europepmc   +1 more source

Two causes of COVID‐19‐related myocardial injury‐associated cardiogenic shock: Myocarditis and microvascular thrombosis

ESC Heart Failure, Volume 12, Issue 2, Page 1514-1522, April 2025.
Takamasa Iwai, Hirohiko Aikawa, Yoshiaki Morita, Keiko Ohta‐Ogo, Teruo Noguchi   +4 more
wiley   +1 more source

Magnetocardiography combined with machine learning for pulmonary hypertension detection and improved short‐term risk assessment

Interdisciplinary Medicine, EarlyView.
Magnetocardiography (MCG) enables non‐invasive mapping of cardiac magnetic fields. In this study, an MCG‐based machine learning model detects pulmonary hypertension with robust performance. Furthermore, MCG features may improve the accuracy of short‐term risk assessment.
Yuankun Qi, Jiaqi Liang, Kai Ma, Xiaoyu Hu, Yu Zhang, Xiaole Han, Dong Xu, Xu Zhang, Xiaopei Cui, Min Xiang, Hongyu Zhang, Jiancheng Fang   +11 more
wiley   +1 more source

Comparative Outcomes Following <i>Candida</i> Bloodstream Infection in Patients With Left Ventricular Assist Devices. [PDF]

Open Forum Infect Dis
Mansoor AE, Krishnan G, Zuniga-Moya JC, Papadopoulus B, Spec A, George I.   +5 more
europepmc   +1 more source

Comparative diagnostic accuracy study of point of care ultrasound techniques for detection of left atrial enlargement by hospital medicine physicians from archived echocardiogram images

Journal of Hospital Medicine, EarlyView.
Abstract Background Left atrial enlargement (LAE) is predictive of cardiovascular morbidity and mortality. Prior studies of point‐of‐care ultrasound (POCUS) interpretation methods for identifying LAE utilized older echocardiographic reference ranges. Objectives Compare the test characteristics of hospitalist‐performed POCUS techniques for identifying ...
Christopher J. Smith, Jesse Umbra, Sofia Quintero, Austin Wilson, Elizabeth Lyden, Nidish Tiwari, Brian Shahan, Jana Wardian   +7 more
wiley   +1 more source

Carvedilol vs. Metoprolol Effectiveness in Patients With Left Ventricular Assist Devices: A TriNetX Analysis. [PDF]

Cureus
Nwaezeapu KI, Ajenaghughrure G, Essien E, Frimpong S, Aghasili CC, Odukudu GO, Qadri H, Patel YB, Ndakotsu A, Zamani T.   +9 more
europepmc   +1 more source

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

Fibrosis 4 Index Predicts Haemocompatibility-Related Adverse Events in Patients Using Left Ventricular Assist Devices. [PDF]

Eur J Cardiothorac Surg
Kurihara T, Amiya E, Hatano M, Ishida J, Bujo C, Isotani Y, Kaneko S, Ando S, Morishita K, Ishii S, Ueda T, Yagi H, Saito A, Soma K, Minatsuki S, Ando M, Shimada S, Ono M, Takeda N.   +18 more
europepmc   +1 more source

Pre‐Imaging Clinical Factors Associated With Cardiac MR Image Quality Using Large Language Model‐Enabled Data Extraction

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision‐making. Purpose To evaluate whether pre‐imaging clinical information, extracted using a large language model (LLM), is independently associated with cardiac MR image quality. Study Type Retrospective.
Hong Yu, Masha Bondarenko, Ali Nowroozi, Yoo Jin Lee, Adrian Serapio, Punita Kaveti, Jae Ho Sohn   +6 more
wiley   +1 more source