Cardiovascular

Effectiveness of hypotension prediction index software in reducing intraoperative hypotension in prolonged prone-position spine surgery: a single-center clinical trial.

Intraoperative hypotension (IOH) is associated with morbidity and mortality. The Hypotension Predict...

Automated ventricular segmentation in pediatric hydrocephalus: how close are we?

OBJECTIVE: The explosive growth of available high-quality imaging data coupled with new progress in ...

Self-supervised feature learning for cardiac Cine MR image reconstruction.

We propose a self-supervised feature learning assisted reconstruction (SSFL-Recon) framework for MRI...

Improving automatic cerebral 3D-2D CTA-DSA registration.

PURPOSE: Stroke remains a leading cause of morbidity and mortality worldwide, despite advances in tr...

A Deep Learning-Based Multimodal Fusion Model for Recurrence Prediction in Persistent Atrial Fibrillation Patients.

BACKGROUND: The long-term success rate of atrial fibrillation (AF) ablation remains a significant cl...

Use of artificial intelligence in the management of stroke: scoping review.

INTRODUCTION: Stroke is a condition that is more predominant in developed countries. However, it con...

Personalized cardiometabolic care powered by artificial intelligence.

Advancements in artificial intelligence (AI) are providing a wealth of opportunities for improving c...

Development and validation of a machine-learning model for the risk of potentially inappropriate medications in elderly stroke patients.

OBJECTIVE: To construct a risk prediction model for potentially inappropriate medications (PIM) in e...

Aging at the Crossroads of Organ Interactions: Implications for the Heart.

Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes....

Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.

Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, predia...

Induced Pluripotent Stem Cells in Cardiomyopathy: Advancing Disease Modeling, Therapeutic Development, and Regenerative Therapy.

Cardiomyopathies are a heterogeneous group of heart muscle diseases that can lead to heart failure, ...

Medical Consent in Cardiovascular Care: Time for Disruption?

Machine learning for cardio-oncology: predicting global longitudinal strain from conventional echocardiographic measurements in cancer patients.

INTRODUCTION: Global longitudinal strain (GLS) is an important prognostic indicator for predicting h...

Identification of shared mechanisms between Alzheimer's disease and atherosclerosis by integrated bioinformatics analysis.

Alzheimer's disease (AD) and atherosclerosis (AS) are two interacting diseases mostly affecting aged...

Validation of new AI-based classification method for in silico cardiac safety assessment of drugs following the CiPA framework.

The comprehensive in vitro proarrhythmia assay (CiPA) has paved the way for integrating in silico tr...

The effect of selection bias on the performance of a deep learning-based intraoperative hypotension prediction model using real-world samples from a publicly available database.

BACKGROUND: There are models to predict intraoperative hypotension from arterial pressure waveforms....

Real-Time Implementation of Accelerated HCP-MMA for Deep Learning-Based ECG Arrhythmia Classification Using Contour-Based Visualization.

This study presents a real-time implementation of an accelerated Hurst Contour Projection from Multi...

When is imaging needed to assess the response to treatment in cardiac amyloidosis.

PURPOSE OF REVIEW: Cardiac amyloidosis is characterized by systolic and diastolic abnormalities due ...

Integration of machine learning and bulk sequencing revealed exosome-related gene FOSB was involved in the progression of abdominal aortic aneurysm.

BACKGROUND: Abdominal aortic aneurysm (AAA), characterized by the pathological dilation of the abdom...

Older people and stroke: a machine learning approach to personalize the rehabilitation of gait.

INTRODUCTION: Stroke is a significant global public health challenge, ranking as the second leading ...

Generative AI models: the next anaesthetic agent?

A study by MacKay and colleagues addresses a pressing need in cardiac anaesthesia by demonstrating a...