Latest AI and machine learning research in congestive heart failure for healthcare professionals.
Fetal MRI has emerged as a crucial supplement to prenatal ultrasonography in the evaluation of the developing brain and in identifying congenital defects and minor developmental malformations. While fetal brain MRI interpretation has always depended on visual examination of signal properties and morphology, images can provide quantitative information that could be missed or hidden from the human e...
BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD), characterized by progressive cyst growth and renal decline, is the leading genetic cause of end-stage renal disease. OBJECTIVE: This study aims to develop and validate machine learning (ML) models for predicting the risk of progression to dialysis in patients with ADPKD using a nationwide administrative database. Early identificatio...
OBJECTIVES: This study examined patterns of clustering of intermediate risk factors for Cardiovascular diseases (CVDs) in a rural South African popula...
Cardiovascular disease remains the predominant cause of global morbidity and mortality, with recent epidemiological trends indicating a resurgence in ...
INTRODUCTION: Acute pulmonary embolism (APE) is characterized by high incidence and mortality, along with non-specific clinical manifestations. Its co...
PURPOSE: We evaluated the alterations of applying artificial intelligence (AI) diagnostic system for diabetic retinopathy (DR) screening in real-world...
BackgroundAlzheimer's disease (AD) patients frequently present to emergency departments (EDs) with complex comorbidities that complicate triage and ma...
AIMS: Accurate stratification of mortality risk is essential for management of chronic coronary syndromes (CCS), but existing models focus primarily o...
Diabetic Retinopathy (DR), a leading cause of preventable blindness worldwide, underscores the urgent need for robust AI-driven diagnostic tools. Alth...
BACKGROUND: Over 2.5 million cycles in vitro fertilization (IVF) are conducted annually, and numbers are expected to rise with the aging population. T...
Biometric systems using physiological signals have shown high identification accuracy (IA) and low Equal Error Rate (EER). However, existing research ...
BACKGROUND: Mitral regurgitation and tricuspid regurgitation frequently coexist and are evaluated using overlapping echocardiographic views. Although ...
BACKGROUND: Peripheral artery disease (PAD) is a leading cause of limb loss and morbidity worldwide, with chronic limb-threatening ischemia (CLTI) rep...
SIGNIFICANCE: This systematic review comprehensively synthesises the progress of artificial intelligence in the grading diagnosis of diabetes-related ...
Emphysema, a primary component of chronic obstructive pulmonary disease (COPD), causes progressive dyspnea through the destruction of alveolar membran...
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiovascular disease. Recent metabolomics studies have revealed pathogeni...
BACKGROUND: The purpose of this study was to create a risk score for mortality within 3 years of elective aortobifemoral artery bypass for aortoiliac ...
BACKGROUND AND OBJECTIVE: Cerebral aneurysms affect 2-5% of the global population and pose a significant health risk upon rupture. While computational...
Retinal age gap (RAG)-the difference between retina-predicted age and chronological age-indicates biological ageing that has been linked to the risk o...
Active arterial mechanics, governed by vascular smooth muscle contraction, are critical to physiological regulation, cardiovascular disease progressio...