AIMC Topic: Systole
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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...
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...
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...
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...
Multimodal data for systolic and diastolic blood pressure prediction: The hypertension conscious artificial intelligence.
EBioMedicine
Sep 13, 2022
End-systole and end-diastole detection in short axis cine MRI using a fully convolutional neural network with dilated convolutions.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jun 3, 2022
The correct assessment and characterization of heart anatomy and functionality is usually done through inspection of magnetic resonance image cine sequences. In the clinical setting it is especially important to determine the state of the left ventri...
Automated In-Line Artificial Intelligence Measured Global Longitudinal Shortening and Mitral Annular Plane Systolic Excursion: Reproducibility and Prognostic Significance.
Journal of the American Heart Association
Feb 8, 2022
Background Global longitudinal shortening (GL-Shortening) and the mitral annular plane systolic excursion (MAPSE) are known markers in heart failure patients, but measurement may be subjective and less frequently reported because of the lack of autom...
Blood Biomarkers Predict Cardiac Workload Using Machine Learning.
BioMed research international
Jun 1, 2021
INTRODUCTION: Rate pressure product (the product of heart rate and systolic blood pressure) is a measure of cardiac workload. Resting rate pressure product (rRPP) varies from one individual to the next, but its biochemical/cellular phenotype remains ...
Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.
Circulation. Arrhythmia and electrophysiology
Aug 4, 2020
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency department (ED) with acute dyspnea is challenging. The reasons for dyspnea are often multifactorial. A focused physical evaluation and diagnostic testing ...
Middle Aged
Diagnosis, Computer-Assisted
Electrocardiography
Predictive Value of Tests
Aged
Male
Ventricular Function, Left
Stroke Volume
Humans
Heart Failure, Systolic
Artificial Intelligence
Emergency Medical Services
Systole
Retrospective Studies
Cardiology Service, Hospital
Signal Processing, Computer-Assisted
Female
Dyspnea
Reproducibility of Results
Ventricular Dysfunction, Left
Detecting liver fibrosis using a machine learning-based approach to the quantification of the heart-induced deformation in tagged MR images.
NMR in biomedicine
Nov 15, 2019
Liver disease causes millions of deaths per year worldwide, and approximately half of these cases are due to cirrhosis, which is an advanced stage of liver fibrosis that can be accompanied by liver failure and portal hypertension. Early detection of ...
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