AIMC Topic: Ventricular Dysfunction, Left
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Prognostic value of preoperative N-terminal pro-brain natriuretic peptide in non-cardiac surgery of elderly patients with normal left ventricular systolic function.
Geriatrics & gerontology international
Sep 3, 2015
AIM: We investigated the prognostic value of preoperative N-terminal pro-brain natriuretic peptide (NT-proBNP) in non-cardiac surgery in elderly patients who showed normal left ventricular function on preoperative echocardiography.
Natriuretic Peptide, Brain
Multivariate Analysis
Odds Ratio
Preoperative Care
Predictive Value of Tests
Aged
Cohort Studies
Ventricular Function, Left
Humans
Aged, 80 and over
ROC Curve
Echocardiography
Ventricular Dysfunction, Left
Male
Biomarkers
Risk Assessment
Surgical Procedures, Operative
Cardiovascular Diseases
Prognosis
Postoperative Complications
Female
Artificial Intelligence Tools for Preconception Cardiomyopathy Screening Among Women of Reproductive Age.
Annals of family medicine
May 27, 2025
PURPOSE: Identifying cardiovascular disease before conception and in early pregnancy can better inform obstetric cardiovascular care. Our main objective was to evaluate the diagnostic performance of artificial intelligence (AI)-enabled digital tools ...
Triple cardiovascular disease detection with an artificial intelligence-enabled stethoscope (TRICORDER): design and rationale for a decentralised, real-world cluster-randomised controlled trial and implementation study.
BMJ open
May 21, 2025
INTRODUCTION: Early detection of cardiovascular disease in primary care is a public health priority, for which the clinical and cost-effectiveness of an artificial intelligence-enabled stethoscope that detects left ventricular systolic dysfunction, a...
Understanding Transient Left Ventricular Ejection Fraction Reduction During Atrial Fibrillation With Artificial Intelligence.
Journal of the American Heart Association
May 20, 2025
BACKGROUND: Atrial fibrillation (AF) can cause a reduction in left ventricular ejection fraction (LVEF) that resolves rapidly upon restoration of sinus rhythm. We used artificial intelligence to understand (1) how often transient LVEF reduction durin...
Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study.
The Lancet. Digital health
Apr 1, 2025
BACKGROUND: Left ventricular systolic dysfunction (LVSD) is independently associated with cardiovascular events in patients with congenital heart disease. Although artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis is predictive of ...
Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study.
European heart journal
Mar 13, 2025
BACKGROUND AND AIMS: Current heart failure (HF) risk stratification strategies require comprehensive clinical evaluation. In this study, artificial intelligence (AI) applied to electrocardiogram (ECG) images was examined as a strategy to predict HF r...
Early Detection of Left Ventricular Dysfunction With Machine Learning-Based Strain Imaging in Aortic Stenosis Patients.
Echocardiography (Mount Kisco, N.Y.)
Nov 1, 2024
PURPOSE: Aortic stenosis (AS) is a common cardiovascular condition where early detection of left ventricular (LV) dysfunction is essential for timely intervention and optimal management. Current echocardiographic measurements, such as ejection fracti...
Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.
Journal of the American College of Cardiology
Aug 27, 2024
BACKGROUND: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to detect biventricular pathophysiology. However, AI-ECG analysis remains underexplored in congenital heart disease (CHD).
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases.
European heart journal. Cardiovascular Imaging
Feb 22, 2024
AIMS: Echocardiography is a cornerstone in cardiac imaging, and left ventricular (LV) ejection fraction (EF) is a key parameter for patient management. Recent advances in artificial intelligence (AI) have enabled fully automatic measurements of LV vo...
Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care.
Mayo Clinic proceedings
Nov 1, 2022
OBJECTIVE: To compare the clinicians' characteristics of "high adopters" and "low adopters" of an artificial intelligence (AI)-enabled electrocardiogram (ECG) algorithm that alerted for possible low left ventricular ejection fraction (EF) and the sub...
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