Cardiovascular

Latest AI and machine learning research in cardiovascular for healthcare professionals.

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Individual risk assessment for rupture of abdominal aortic aneurysm using artificial intelligence.

OBJECTIVE: This study aimed to develop a prediction tool to identify abdominal aortic aneurysms (AAA...

Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction.

The early detection and accurate diagnosis of cardiovascular diseases is vital to reduce global morb...

Prediction of postoperative stroke in patients experienced coronary artery bypass grafting surgery: a machine learning approach.

BACKGROUND: Coronary artery bypass grafting (CABG) surgery has been a widely accepted method for tre...

A bibliometric analysis of abdominal aortic aneurysm (2014-2024).

BACKGROUND: Abdominal aortic aneurysm (AAA) is a localized bulge of the abdominal aorta, which mainl...

Active learning for extracting rare adverse events from electronic health records: A study in pediatric cardiology.

OBJECTIVE: Automate the extraction of adverse events from the text of electronic medical records of ...

Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach.

BACKGROUND: Stroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcom...

Smartphone pupillometry with machine learning differentiates ischemic from hemorrhagic stroke: A pilot study.

OBJECTIVES: Similarities between acute ischemic and hemorrhagic stroke make diagnosis and triage cha...

Super-resolution left ventricular flow and pressure mapping by Navier-Stokes-informed neural networks.

Intraventricular vector flow mapping (VFM) is an increasingly adopted echocardiographic technique th...

Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields.

BACKGROUND: Cardiac cine MRI is the gold standard for cardiac functional assessment, but the inheren...

Assessment of the stability of intracranial aneurysms using a deep learning model based on computed tomography angiography.

PURPOSE: Assessment of the stability of intracranial aneurysms is important in the clinic but remain...

AI-Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis.

Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High-fidelity...

Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models.

BACKGROUND: Acute ischemic stroke (AIS) is a major cause of morbidity and mortality, with hemorrhagi...

Identification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics.

OBJECTIVE: To explore whether radiomics analysis of pericoronary adipose tissue (PCAT) captured by c...

Artificial Intelligence Advancements in Cardiomyopathies: Implications for Diagnosis and Management of Arrhythmogenic Cardiomyopathy.

PURPOSE OF REVIEW: This review aims to explore the emerging potential of artificial intelligence (AI...

Artificial intelligence-assisted echocardiographic monitoring in pediatric patients on extracorporeal membrane oxygenation.

BACKGROUND: Percutaneous extracorporeal membrane oxygenation (ECMO) is administered to pediatric pat...

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