Cardiovascular

Metabolic Syndrome

Latest AI and machine learning research in metabolic syndrome for healthcare professionals.

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Showing 190-210 of 8,474 articles
Association of lipid profiles with suicide attempts in young adults with first-episode drug-naive major depressive disorder: a gender-specific analysis.

Major depressive disorder (MDD) is strongly associated with suicide risk. While lipid metabolism dys...

(2)
Jun 2026 42380411
Statin adherence among patients with hypertension in Swedish primary health care: a QregPV cohort study using explainable machine learning.

AIMS: Evidence regarding statin adherence among patients with hypertension in primary care is limite...

(1)
Jun 2026 42366593
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
Prediction of hypertension and restenosis under guideline-directed management in aortic coarctation: development and validation of machine-learning models.

BACKGROUND: Aortic coarctation (CoA) is a major cause of arterial hypertension in young individuals,...

(1)
Jun 2026 42389462
An interpretable predictive model for depression risk in diabetic patients: A web-based application using NHANES data.

Depression is a common comorbidity in individuals with diabetes and is associated with adverse clini...

Jun 2026 42363498
Machine learning-based early kidney stone risk classification in diabetic-hypertensive patients using obesity composite indices.

Kidney stone disease (KSD) is increasingly prevalent among patients with diabetes mellitus and hyper...

Jun 2026 42363501
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
Repurposing Non-oncologic Drugs via Targeted Nanocarriers for Cancer Therapy: Mechanisms, Synergistic Combinations, and Clinical Translation.

The urgent need for innovative cancer therapies has driven increasing interest in repurposing drugs ...

(1)
Jun 2026 42362822
Maternal circulating lipid metabolic heterogeneity in preeclampsia: machine learning identifies clinically distinct subtypes.

BACKGROUND: Preeclampsia is associated with dyslipidemia. Maternal circulating lipid profiles may re...

Jun 2026 42363077
Artificial intelligence-based prediction of diseases among homeless populations in Bogotá: Implications for targeted interventions.

BACKGROUND: The homeless population in Bogotá exhibits complex social and health vulnerabilities, wi...

(2)
Jun 2026 42361024
Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

BACKGROUND: Significant liver fibrosis is often clinically silent but predicts adverse outcomes. We ...

(2)
Jun 2026 42365707
Association of TyG-RFM with depressive symptoms: a nationally representative study enhanced by interpretable machine learning.

BACKGROUND: The association between the triglyceride-glucose index-relative fat mass (TyG-RFM) and p...

(2)
Jun 2026 42378910
Correlation between SHR and 28-day all-cause mortality risk in patients with spontaneous intracerebral hemorrhage.

BACKGROUND: The stress hyperglycemia ratio (SHR) has recently been suggested as a dependable indicat...

Jun 2026 42337711
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 mortality risk in hospitalized ACS patients with hypertensive comorbidity: an interpretable machine learning approach.

BACKGROUND: Hypertension serves as a prevalent health issue, particularly in South Asia, where it is...

Jun 2026 42337519
Cardiometabolic multimorbidity and atrial fibrillation: insights from traditional statistical and artificial intelligence approaches.

BACKGROUND: Cardiometabolic multimorbidity (CMM) is increasingly prevalent among patients with atria...

(1)
Jun 2026 42332627
Super learner model for predicting carotid plaque regression in type 2 diabetes on PCSK9 inhibitors.

OBJECTIVES: Evidence regarding the effects of proprotein convertase subtilisin/kexin type 9 (PCSK9) ...

Jun 2026 42329281
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