Cardiovascular

Congestive Heart Failure

Latest AI and machine learning research in congestive heart failure for healthcare professionals.

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Showing 190-210 of 4,479 articles
Echocardiographic assessment in arterial hypertension: a contemporary narrative review.

Arterial hypertension remains the leading modifiable cause of cardiovascular morbidity and mortality...

(2)
Jun 2026 42366420
Predictive Model for Thrombosis in Mature Autologous Arteriovenous Fistula.

OBJECTIVE: Based on the "high-risk stenosis-thrombosis" theory, this study developed a risk predicti...

(2)
Jun 2026 42365896
Decoding the Complexity of Tricuspid Regurgitation Prognostic Drivers Using Explainable Artificial Intelligence.

AIMS: Prognosis in tricuspid regurgitation (TR) is shaped by complex clinical and hemodynamic intera...

(1)
Jun 2026 42363702
Artificial intelligence-enhanced nurse navigation for monitoring and care of long COVID.

INTRODUCTION: Long COVID is a multisystem condition with challenging diagnosis. Nurse-navigation, a ...

(1)
Jun 2026 42364466
Retinal vascular parameters as AI-driven biomarkers for pulse wave velocity assessment: a telemedicine strategy for cardiovascular risk assessment.

BACKGROUND: Pulse wave velocity (PWV), known as the gold standard for evaluating arterial stiffness,...

(2)
Jun 2026 42360005
The diagnostic and predictive value of AI-combined multilayer spiral CT for MACE after emergency PCI in STEMI patients: A prospective cohort study.

ST-segment elevation myocardial infarction (STEMI) patients remain at substantial risk for major adv...

(1)
Jun 2026 42363530
A Machine-Learning Model for Accurate Diuresis Prediction in Acute Heart Failure (DRC-AHF).

AIMS: We aimed to develop a machine learning-based tool for accurate quantitative prediction of diur...

(1)
Jun 2026 42361296
First-Pass Reperfusion After Endovascular Thrombectomy: A Real-World Analysis with Explainable Machine Learning for Intra-Procedural Decision Support.

OBJECTIVE: To evaluate determinants of first-pass reperfusion and to develop an explainable machine ...

(1)
Jun 2026 42362108
Interpretable machine learning reveals the synergistic impact of essential hypertension on early recurrence in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) patients often ential hypertension, yet how systemic vascular s...

Jun 2026 42362737
Serial AI-Enabled Electrocardiogram Trajectories During Heart Failure Treatment: A Proof-of-Concept Case Series.

BACKGROUND: Artificial intelligence-enabled electrocardiogram (AI-ECG) detects left ventricular syst...

(1)
Jun 2026 42347720
Is cellular senescence a biological feature of Long COVID? A transcriptomic analysis across comparative post-acute sequelae phenotypes.

INTRODUCTION: Cellular senescence, involving cell-cycle arrest and inflammatory factor release, may ...

(1)
Jun 2026 42340243
Right Ventricular Metrics as End Points in Clinical Trials: A Review.

IMPORTANCE: Clinical trials in cardiovascular medicine aim to deliver high-quality evidence with gre...

Jun 2026 42340710
Predicting intradialytic exercise intolerance in maintenance hemodialysis patients: an interpretable machine learning approach integrating functional assessments.

Exercise intolerance, primarily manifesting as intradialytic hypotension (IDH), is common in mainten...

(1)
Jun 2026 42336401
Accuracy of Key Sonographic Markers for Juxta-Articular Fractures: A Prospective Study Using Explainable Machine Learning.

OBJECTIVES: To systematically evaluate sonographic features of long bone juxta-articular fractures a...

Jun 2026 42334241
Diastolic dysfunction is linked to the initiation and progression of aortic stenosis: a hypothesis.

The conventional paradigm in aortic stenosis (AS) holds that progressive valvular obstruction increa...

Jun 2026 42334265
Hierarchical Semantic Concept Modeling for Generalizable Myocardial Pathology Segmentation on Multisequence CMR Images.

Myocardial pathology segmentation (MyoPS) aims to accurately quantify myocardial scar and edema, whi...

(2)
Jun 2026 42335063
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