Latest AI and machine learning research in congestive heart failure for healthcare professionals.
The Japanese Kampo medicine Boi-ogi-to (BOT) is known as an effective therapeutic agent for edema an...
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is associated with significant morbidity and mortality...
Cardiomyopathy is a key cause of cardiovascular mortality in critically ill patients. Although red ...
Survival prediction in patients with brain metastases remains a major clinical challenge, where tim...
This study aims to introduce a novel, computationally lightweight feature extraction technique calle...
The aim of this study was to establish a nomogram based on clinical, radiomics, and deep transfer le...
Smoking has been widely identified for its detrimental effects on human health, particularly on the ...
Large language models (LLMs), such as ChatGPT, have emerged as potential clinical support tools to ...
Atrial fibrillation (AF) is increasingly recognized as the clinical manifestation of an underlying a...
Diabetic macular edema (DME) significantly contributes to visual impairment in diabetic patients. ...
This study proposes a novel approach to predict the efficacy of bevacizumab (BEV) in treating peritu...
Smart rings offer a convenient way to continuously and unobtrusively monitor cardiovascular physio...
Precise and effective processing of cardiac imaging data is critical for the identification and ma...
Functional limitation after lung resection surgery has been consistently documented in clinical st...
Purpose To develop a deep learning (DL) model that derives aligned strain values from cine (noncontr...
Stroke continues to be a major adverse event in advanced congestive heart failure (CHF) patients aft...
Non-compaction cardiomyopathy (NCCM) is a rare, congenital form of cardiomyopathy characterized by e...
Background Four-dimensional (4D) flow MRI provides assessment of thoracic aorta hemodynamic measures...
Artificial intelligence (AI), a branch of computer science focused on developing algorithms that rep...
The perfect alignment of 3D echocardiographic images captured from various angles has improved ima...
Large language models (LLMs) have significantly advanced the natural language processing paradigm ...