AIMC Topic: Diastole

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

Anesthesia and analgesia Feb 20, 2025
BACKGROUND: Intraoperative hypotension (IOH) and tachycardia are associated with perioperative myocardial injury (PMI), and thereby increased postoperative mortality. Patients undergoing vascular surgery are specifically at risk of developing cardiac...
Risk Factors Aged Male Middle Aged Monitoring, Intraoperative Humans Machine Learning Prospective Studies Female Arterial Pressure Systole Intraoperative Complications Diastole Tachycardia Predictive Value of Tests Blood Pressure Troponin T Hypotension Heart Rate
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Artificial Intelligence ECG Diastolic Dysfunction and Survival in Cardiac Intensive Care Unit Patients.

Journal of the American Heart Association Feb 19, 2025
BACKGROUND: Left ventricular diastolic dysfunction (LVDD) predicts mortality in patients in cardiac intensive care units. An artificial intelligence enhanced ECG (AIECG) algorithm can predict LVDD and mortality in general populations but has not been...
Male Humans Ventricular Function, Left Artificial Intelligence Hospital Mortality Echocardiography Retrospective Studies Middle Aged Electrocardiography Female Ventricular Dysfunction, Left Aged Coronary Care Units Diastole
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Diagnostic accuracy of artificial intelligence for identifying systolic and diastolic cardiac dysfunction in the emergency department.

The American journal of emergency medicine Oct 15, 2024
INTRODUCTION: Cardiac point-of-care ultrasound (POCUS) can evaluate for systolic and diastolic dysfunction to inform care in the Emergency Department (ED). However, accurate assessment can be limited by user experience. Artificial intelligence (AI) h...
Humans Sensitivity and Specificity Male Point-of-Care Systems Echocardiography Middle Aged Artificial Intelligence Prospective Studies Female Aged Emergency Service, Hospital Systole Heart Failure, Diastolic Diastole
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Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Time Factors United States Calcinosis Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Ventricular Dysfunction, Left Diastole Sclerosis Middle Aged Risk Assessment Disease Progression Severity of Illness Index Deep Learning Aged Male Ventricular Function, Left Echocardiography Humans Prognosis Female Reproducibility of Results Risk Factors
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Deep learning method with integrated invertible wavelet scattering for improving the quality ofcardiac DTI.

Physics in medicine and biology Sep 5, 2024
Respiratory motion, cardiac motion and inherently low signal-to-noise ratio (SNR) are major limitations ofcardiac diffusion tensor imaging (DTI). We propose a novel enhancement method that uses unsupervised learning based invertible wavelet scatterin...
Signal-To-Noise Ratio Wavelet Analysis Diffusion Tensor Imaging Diastole Humans Deep Learning Image Processing, Computer-Assisted Heart
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Automated echocardiographic diastolic function grading: A hybrid multi-task deep learning and machine learning approach.

International journal of cardiology Aug 30, 2024
BACKGROUND: Assessing left ventricular diastolic function (LVDF) with echocardiography as per ASE guidelines is tedious and time-consuming. The study aims to develop a fully automatic approach of this procedure by a lightweight hybrid algorithm combi...
Stroke Volume Echocardiography Middle Aged Algorithms Deep Learning Humans Diastole Female Machine Learning Aged Male Ventricular Function, Left
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Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast.

Magnetic resonance in medicine May 31, 2024
PURPOSE: Tricuspid valve flow velocities are challenging to measure with cardiovascular MR, as the rapidly moving valvular plane prohibits direct flow evaluation, but they are vitally important to diastolic function evaluation. We developed an automa...
Male Stroke Volume Middle Aged Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Systole Blood Flow Velocity Diastole Humans Algorithms Female Reproducibility of Results Adult Magnetic Resonance Imaging, Cine Tricuspid Valve
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Diastolic function assessment with four-dimensional flow cardiovascular magnetic resonance using automatic deep learning E/A ratio analysis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Mar 30, 2024
BACKGROUND: Diastolic left ventricular (LV) dysfunction is a powerful contributor to the symptoms and prognosis of patients with heart failure. In patients with depressed LV systolic function, the E/A ratio, the ratio between the peak early (E) and t...
Echocardiography, Doppler Blood Flow Velocity Reproducibility of Results Diastole Ventricular Dysfunction, Left Aged Humans Middle Aged Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Male Female Deep Learning Automation Ventricular Function, Left Chronic Disease Myocardial Ischemia Predictive Value of Tests Mitral Valve
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Reproducibility of artificial intelligence-enabled plaque measurements between systolic and diastolic phases from coronary computed tomography angiography.

European radiology Mar 11, 2024
OBJECTIVES: Current coronary CT angiography (CTA) guidelines suggest both end-systolic and mid-diastolic phases of the cardiac cycle can be used for CTA image acquisition. However, whether differences in the phase of the cardiac cycle influence coron...
Systole Plaque, Atherosclerotic Computed Tomography Angiography Diastole Humans Male Middle Aged Artificial Intelligence Coronary Angiography Female Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease Aged
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Automated echocardiographic left ventricular dimension assessment in dogs using artificial intelligence: Development and validation.

Journal of veterinary internal medicine Feb 16, 2024
BACKGROUND: Artificial intelligence (AI) could improve accuracy and reproducibility of echocardiographic measurements in dogs.
Dogs Artificial Intelligence Heart Ventricles Reproducibility of Results Diastole Animals Echocardiography
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