Congestive Heart Failure

Identification of diagnostic and therapeutic roles of programmed cell death-related proteins in dilated cardiomyopathy: a multi-omics and experimental validation study.

Dilated cardiomyopathy (DCM) is a clinically heterogeneous cardiac disorder characterized by ventricular dilation and systolic dysfunction, with limited options for mechanism-based diagnosis and targeted therapy. Programmed cell death (PCD), encompassing apoptosis, ferroptosis, pyroptosis, and other regulated mechanisms, has been implicated in the pathogenesis of DCM, yet its diagnostic and therap...

Explainable TabNet for gestational diabetes prediction with physician-in-the-loop and multi-site clinical validation.

BACKGROUND: Gestational diabetes mellitus (GDM) affects 15-25% of pregnancies worldwide and poses serious risks of macrosomia, preeclampsia, neonatal hypoglycaemia, and long-term type 2 diabetes. Existing machine learning models lack prospective multi-site external validation and formal physician trust evaluation, limiting real-world applicability. OBJECTIVES: To develop a clinically validated, ex...

Early Risk Stratification for Mechanical Ventilation in Acute Ischemic Stroke: Development and Validation of a Simplified Clinical Score.

Background and PurposeMechanical ventilation (MV) occurs in a substantial subset of acute ischemic stroke (AIS) hospitalizations and is associated wit...

Artificial intelligence in the differential diagnosis of hypertrophic cardiomyopathy and physiological hypertrophy: a scoping review.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is the most common inherited myocardial disorder and a major cause of sudden cardiac death in young adul...

Unveiling the gap in heart failure: a Brazilian Unified Health System study.

BACKGROUND: Heart failure (HF) decompensation is the leading cause of hospitalisations in developed countries and the third most common cause in Brazi...

Clinical setting-dependent diagnostic accuracy of artificial intelligence and store-and-forward diabetic retinopathy screening: a systematic review and meta-analysis.

Population-based diabetic retinopathy (DR) screening requires diagnostic strategies that optimize clinical utility by balancing missed disease against...

Admission blood pressure percentiles and in-hospital mortality in pediatric heart failure: a multicenter retrospective cohort study.

BACKGROUND: Pediatric heart failure (PHF) carries a high mortality burden, yet the prognostic value of admission blood pressure (BP) remains poorly de...

Efficacy of short-course bevacizumab for brain tumor radiation necrosis with a volumetric analysis.

PURPOSE: Radiation necrosis (RN) is a challenging complication of cranial irradiation, often requiring corticosteroids for management. This study eval...

Comparative accuracy of a predictive algorithm versus cardiologist assessment for 90-day readmission in decompensated chronic heart failure.

BACKGROUND: Heart failure is a leading cause of hospital readmission globally. Few studies have compared the performance of artificial intelligence-ba...

Machine learning for risk stratification of postoperative corneal edema in East Asian cataract patients: a model for precision ophthalmology.

PURPOSE: To develop and validate machine learning (ML) models for predicting early postoperative corneal edema (CE) after phacoemulsification in patie...

UveAI: clinic-ready scoring of retinal inflammation in uveitis on widefield fluorescein angiography using AI.

Retinal inflammation is a key determinant of visual prognosis in uveitis, yet its assessment on fluorescein angiography remains subjective, labor-inte...

Metabolic, demographic, and behavioral risk factors predict brain structural variability in the general population: an analysis of the human connectome project young adults.

BACKGROUND: Understanding whether commonly available metabolic, demographic, and behavioral factors can explain variability in brain structure may sup...

Peripheral retinal haemorrhage density on ultra-widefield imaging as a novel biomarker for predicting diabetic retinopathy progression: a 2-year longitudinal study in Asians.

AIMS: To evaluate whether predominantly peripheral lesions (PPLs) and other imaging biomarkers on ultra-widefield (UWF) photography can predict the pr...

A TyG-UHR-based machine learning model for screening lean MAFLD: development and external validation.

BACKGROUND: Lean metabolic dysfunction-associated fatty liver disease (MAFLD) is increasingly recognized but often goes unnoticed during health checku...

EJHF expert consensus statement on the diagnosis and management of hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is the most prevalent genetic cardiac disease and a leading cause of heart failure, arrhythmia, and sudden cardiac d...

Myocardial relaxation, left ventricular filling, and exercise capacity in older subjects with dyspnea.

With aging, left ventricular (LV) early diastolic lengthening declines. Delayed or dyssynchronous untwisting and relaxation may slow and reduce fillin...

Intravenous extravasation report generation using deep learning, generative artificial intelligence, and visual question answering techniques.

Peripheral intravenous extravasation poses significant clinical challenges, demanding accurate assessment for timely intervention. This study advances...

GATA3 mediates the cardioprotective effect of hydroxysafflor yellow a against septic cardiomyopathy: insights from integrated machine learning, WGCNA, and experimental validation.

UNLABELLED: Sepsis-induced cardiomyopathy represents a life-threatening complication arising from severe sepsis and septic shock. Hydroxysafflor yello...

Predicting atrial fibrillation recurrence after radiofrequency ablation using the AIFV system: a prospective observational study.

BACKGROUND: Pulmonary vein isolation (PVI) has become the cornerstone of atrial fibrillation (AF) treatment. Nevertheless, the efficacy of radiofreque...

SPISE index and ensemble machine learning refine cardiovascular risk stratification in stage 0-3 CKM syndrome.

BACKGROUND: While the single-point insulin sensitivity estimator (SPISE) shows promise as an insulin resistance biomarker, its association with cardio...