Latest AI and machine learning research in congestive heart failure for healthcare professionals.
BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) ...
The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal proc...
OBJECTIVE: Half of all adult emergency department (ED) visits with a complaint of dyspnea involve ac...
Routine duplex ultrasound surveillance is recommended after femoral-popliteal and femoral-tibial-ped...
The pathogenesis of diabetic cardiomyopathy (DCM) remains incompletely understood. The present study...
This study aims to introduce a novel, computationally lightweight feature extraction technique calle...
Arsenic (As)-induced hypertension is a significant public health concern, highlighting the need for ...
BACKGROUND: Heart failure (HF) is a prevalent cause of hospital readmissions. Our study aims to dete...
Dilated cardiomyopathy (DCM) is a prevalent cardiac disorder affecting 1 in 250-500 individuals, cha...
BACKGROUND: Takotsubo cardiomyopathy (TC) is an acute heart failure syndrome characterized by transi...
BACKGROUND: Wearable fitness trackers generate extensive physiological and activity data, offering p...
Acute and chronic ischemic cardiomyopathy (ICM) still represents a leading cause of morbidity and mo...
Blood pressure is a critical risk factor for cardiovascular diseases (CVDs), yet most adults do not ...
In the realm of cardiovascular medicine, medical imaging plays a crucial role in accurately classify...
The performance and long-term health of athletes are significantly influenced by their cardiovascula...
OBJECTIVE: To identify the correlation between ultrasound findings and the incidence of differential...
CONTEXT.—: Assessment of placental villous maturation is among the most common tasks in perinatal pa...
PURPOSE: Identifying cardiovascular disease before conception and in early pregnancy can better info...
Cardiovascular diseases (CVDs) are still one of the leading causes of death globally, underscoring t...
This article introduces a novel deep-learning based framework, Super-resolution/Denoising network (S...
INTRODUCTION: Early detection of cardiovascular disease in primary care is a public health priority,...