Cardiovascular

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

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Diastolic Versus Systolic or Mean Intraoperative Hypotension as Predictive of Perioperative Myocardial Injury in a White-Box Machine-Learning Model.

BACKGROUND: Intraoperative hypotension (IOH) and tachycardia are associated with perioperative myoca...

Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study.

BACKGROUND: Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPE...

Automated Coronary Artery Segmentation with 3D PSPNET using Global Processing and Patch Based Methods on CCTA Images.

The prevalence of coronary artery disease (CAD) has become the major cause of death across the world...

The Mechanism of Bisphenol S-Induced Atherosclerosis Elucidated Based on Network Toxicology, Molecular Docking, and Machine Learning.

The increasing prevalence of environmental pollutants has raised public concern about their potentia...

Ventricular Arrhythmia Classification Using Similarity Maps and Hierarchical Multi-Stream Deep Learning.

OBJECTIVE: Ventricular arrhythmias are the primary arrhythmias that cause sudden cardiac death. We a...

Robust Myocardial Perfusion MRI Quantification With DeepFermi.

Stress perfusion cardiac magnetic resonance is an important technique for examining and assessing th...

Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study.

Intracranial atherosclerotic stenosis (ICAS) refers to a narrowing of intracranial arteries due to p...

Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective.

Alignment of advanced cutting-edge technologies such as Artificial Intelligence (AI) has emerged as ...

Personalised screening tool for early detection of sarcopenia in stroke patients: a machine learning-based comparative study.

BACKGROUND: Sarcopenia is a common complication in patients with stroke, adversely affecting recover...

Protocol for AI-based segmentation and quantification of interstitial cells of Cajal in murine gastric muscle.

Interstitial cells of Cajal (ICCs), pacemaker and neuromodulator cells in the gastrointestinal (GI) ...

Artificial Intelligence ECG Diastolic Dysfunction and Survival in Cardiac Intensive Care Unit Patients.

BACKGROUND: Left ventricular diastolic dysfunction (LVDD) predicts mortality in patients in cardiac ...

Characterizing Brain-Cardiovascular Aging Using Multiorgan Imaging and Machine Learning.

The structure and function of the brain and cardiovascular system change over the lifespan. In this ...

Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.

PURPOSE OF REVIEW: This review explores the role of artificial intelligence (AI) in cardio-oncology,...

Deep learning-based video-level view classification of two-dimensional transthoracic echocardiography.

In recent years, deep learning (DL)-based automatic view classification of 2D transthoracic echocard...

Artificial intelligence in healthcare education: evaluating the accuracy of ChatGPT, Copilot, and Google Gemini in cardiovascular pharmacology.

BACKGROUND: Artificial intelligence (AI) is revolutionizing medical education; however, its limitati...

Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.

Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventio...

Clinical efficacy of NIBS in enhancing neuroplasticity for stroke recovery.

BACKGROUND: For stroke patients, a therapeutic approach named Non-invasive brain stimulation (NIBS) ...

Deep learning-based classification of diffusion-weighted imaging-fluid-attenuated inversion recovery mismatch.

The presence of a diffusion-weighted imaging (DWI)-fluid-attenuated inversion recovery (FLAIR) misma...

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