Congestive Heart Failure

Hyperglycemia-driven metabolic memory signaling destabilizes METTL1 to trigger inflammatory hypertrophy and fibrosis in diabetic cardiomyopathy.

BACKGROUND: Diabetic cardiomyopathy (DCM) occurs in the context of coronary artery disease or pressu...

Artificial Intelligence Electrocardiogram and Left Ventricular Systolic Dysfunction in Kenya.

IMPORTANCE: Early detection of risk of heart failure with reduced ejection fraction remains challeng...

Testing Near-Field Radio-Frequency Sensors to Predict Respiratory Distress in Patients Living With Dementia: A Pilot Feasibility and Acceptability Study.

BackgroundPeople living with dementia (PLWD) with advanced illness are prone to respiratory distress...

Artificial intelligence applications in OCT and OCTA for diabetic retinopathy: A systematic review.

PURPOSE: Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide. Optical cohere...

Use of Machine-Learning Models to Identify Clinical Features Associated With A Future Clinical Worsening Event in Patients With Pulmonary Arterial Hypertension.

Clinical worsening events are increasingly recognized as a meaningful outcome in pulmonary arterial ...

Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy.

AIMS: Non-ischaemic dilated cardiomyopathy (DCM) is frequently characterized by the presence of path...

Diuretic Ultrasound Evaluation of Surgical Necessity in Pediatric Ureteropelvic Junction Obstruction.

RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning (ML) model u...

Artificial intelligence-assisted peri-operative echocardiography: a multicentre observational study.

INTRODUCTION: Point-of-care transthoracic echocardiography performed by anaesthetists can influence ...

Getting ahead of sudden cardiac arrest in pediatric hypertrophic cardiomyopathy patients.

INTRODUCTION: Sudden cardiac arrest (SCA) remains one of the most devastating complications of pedia...

A Novel Nomogram for Predicting Meningioma Grade Based on Radiomics Features and Clinical Characteristics.

OBJECTIVE: This study aimed to develop a predictive model utilizing radiomics features and clinical ...

Contemporary heart failure evidence in 2025: a joint summary of key trials from the European Journal of Heart Failure and ESC Heart Failure Journal.

Heart failure (HF) remains a major global health challenge, characterized by high morbidity, mortali...

AI-echocardiography: an eagle eye for the prognostic staging of ATTR cardiomyopathy.

Prognostic Modeling Based on Post-Endovascular Thrombectomy Systolic Blood Pressure Trajectories Using Explainable Artificial Intelligence: A Secondary Analysis of the OPTIMAL-BP Trial.

Blood pressure (BP) management following successful reperfusion after endovascular thrombectomy (EVT...

Evaluation of new vectorcardiography algorithms for identifying left ventricular hypertrophy and impaired systolic function.

BACKGROUND: Timely diagnosis of impaired systolic function and left ventricular hypertrophy (LVH) re...

OCT biomarkers in patients with diabetic macular edema treated with dexamethasone implant.

Beyond conventional OCT-based morphological classifications of diabetic macular edema (DME), an expa...

Extraction of Acoustic Features via Empirical Wavelet Transform to Determine Stenosis Degree of the Left Anterior Descending Artery Based on the Diastolic Heart Sounds of 75 Participants.

OBJECTIVES: This study aimed to develop a method for extracting acoustic features to assess left ant...

Lp(a), Artificial Intelligence, Hypertrophic Cardiomyopathy….

Exploring the mechanisms and management of sepsis-related cardiac dysfunction.

Sepsis-related cardiac dysfunction (SRCD) represents a critical determinant of both acute mortality ...

The evolving role of artificial intelligence in optimizing treatment and patient selection in diabetic macular edema.

Anti-vascular endothelial growth factor (anti-VEGF) therapy is the mainstay of management for diabet...

Early emergency department decision support for heart failure hospitalization using triage-level unstructured and structured data: a retrospective cohort study.

BACKGROUND: Early identification of patients at risk for heart failure (HF) hospitalization in the e...

Artificial Intelligence-Based Analysis of Right Ventricular Work Is Associated with Outcomes after Transcatheter Tricuspid Valve Intervention.

AIMS: In tricuspid regurgitation (TR), conventional parameters of right ventricular (RV) function ha...