Cardiovascular

Identification and validation of ANXA3 and SOCS3 as biomarkers for acute myocardial infarction related to sphingolipid metabolism.

BACKGROUND: Sphingolipid metabolism (SM) is linked to acute myocardial infarction (AMI), but its rol...

High-intensity interval training with robot-assisted gait therapy vs. treadmill gait therapy in chronic stroke: a randomized controlled trial.

OBJECTIVE: Stroke is a leading cause of long-term disability, significantly impacting patients' mobi...

Age-related variation in hemoglobin glycation index and stroke mortality: mediation and machine learning in a cohort study.

To investigate the associations between both age and the hemoglobin glycation index (HGI) and the 30...

Prescreening depression using wearable electrocardiogram and photoplethysmogram data from a psycholinguistic experiment.

Depression is a prevalent mental health disorder that significantly impacts well-being and qual...

Temporal consistency-aware network for renal artery segmentation in X-ray angiography.

PURPOSE: Accurate segmentation of renal arteries from X-ray angiography videos is crucial for evalua...

An AI-driven machine learning approach identifies risk factors associated with 30-day mortality following total aortic arch replacement combined with stent elephant implantation.

OBJECTIVES: During emergency surgery, patients with acute type A aortic dissection (ATAAD) experienc...

Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data.

BACKGROUND: Stroke is one of the leading causes of death and disability worldwide, with a significan...

Intraoperative hypotension prediction in cardiac and noncardiac procedures: is HPI truly worthwhile? A systematic review and meta-analysis.

BACKGROUND: Intraoperative hypotension (IOH), defined as a mean arterial pressure (MAP) below 65 mmH...

Optimal mean arterial pressure for favorable neurological outcomes in patients after cardiac arrest.

BACKGROUND: Optimal mean arterial pressure (MAP) range after cardiac arrest remains uncertain. This ...

Investigating the Impact of the Stationarity Hypothesis on Heart Failure Detection using Deep Convolutional Scattering Networks and Machine Learning.

Detection of Cardiovascular Diseases (CVDs) has become crucial nowadays, as the World Health Organiz...

In silico analysis of atrial fibrillation and hypertension mechanism of action secondary to ibrutinib/acalabrutinib in chronic lymphocytic leukemia.

Ibrutinib and acalabrutinib are first- and next-generation Bruton Tyrosine Kinase inhibitors (BTKi),...

Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.

Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying bio...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

Identification and Verification of SLC6A15 Involved in Keloid via Bioinformatics Analysis and Machine Learning.

Keloid is a fibroproliferative disorder that poses a challenge in clinical management. This study ai...

AI-Enhanced Fetal CMR: Deep Learning Super-Resolution Improves Prenatal Cardiac Diagnosis.

AI-Guided Decision Support in Acute Cardiac Care: From Chest Pain to STEMI.

Artificial intelligence (AI) is rapidly transforming the landscape of acute cardiac care, offering n...

Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data.

Myocardial infarction (MI) remains one of the greatest contributors to mortality, and patients admit...

Artificial Intelligence in Predicting Sudden Cardiac Death.

Sudden cardiac death (SCD) remains a significant global health challenge, with existing risk stratif...

Design of highly functional genome editors by modelling CRISPR-Cas sequences.

Gene editing has the potential to solve fundamental challenges in agriculture, biotechnology and hum...

Association between atherogenic index of plasma and hypertension combined with diabetes mellitus in United States adults: an analysis of the NHANES surveys from 2011 to 2016.

INTRODUCTION: Observational studies have indicated that individuals with hypertension (HTN) and diab...

Correction: Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study.