AIMC Topic: Echocardiography
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External validation of artificial intelligence for detection of heart failure with preserved ejection fraction.
Nature communications
Mar 25, 2025
Artificial intelligence (AI) models to identify heart failure (HF) with preserved ejection fraction (HFpEF) based on deep-learning of echocardiograms could help address under-recognition in clinical practice, but they require extensive validation, pa...
Weighted-VAE: A deep learning approach for multimodal data generation applied to experimental T. cruzi infection.
PloS one
Mar 24, 2025
Chagas disease (CD), caused by the protozoan parasite Trypanosoma cruzi (T. cruzi), represents a major public health concern in most of the American continent and causes 12,000 deaths every year. CD clinically manifests in two phases (acute and chron...
The Artificial Intelligence-Enhanced Echocardiographic Detection of Congenital Heart Defects in the Fetus: A Mini-Review.
Medicina (Kaunas, Lithuania)
Mar 21, 2025
Artificial intelligence (AI) is rapidly gaining attention in radiology and cardiology for accurately diagnosing structural heart disease. In this review paper, we first outline the technical background of AI and echocardiography and then present an a...
CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning.
Computers in biology and medicine
Mar 18, 2025
Cardiac ultrasound (US) scanning is one of the most commonly used techniques in cardiology to diagnose the health of the heart and its proper functioning. During a typical US scan, medical professionals take several images of the heart to be classifi...
Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.
The international journal of cardiovascular imaging
Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Humans
Stroke Volume
Machine Learning
Echocardiography
Female
Severity of Illness Index
Reproducibility of Results
Young Adult
Prognosis
Adult
Retrospective Studies
Male
Ventricular Dysfunction, Right
Adolescent
Ventricular Function, Right
Image Interpretation, Computer-Assisted
Pulmonary Valve Insufficiency
Chronic Disease
Predictive Value of Tests
Applications of Artificial Intelligence in Constrictive Pericarditis: A Short Literature Review.
Current cardiology reports
Mar 11, 2025
PURPOSE OF REVIEW: Constrictive pericarditis (CP) is a potentially curable condition characterized by the thickening, scarring, and calcification of the pericardium. A comprehensive approach, including clinical evaluations and imaging techniques such...
Diagnosis extraction from unstructured Dutch echocardiogram reports using span- and document-level characteristic classification.
BMC medical informatics and decision making
Mar 7, 2025
BACKGROUND: Clinical machine learning research and artificial intelligence driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists is often time-consuming and ...
Automated structured data extraction from intraoperative echocardiography reports using large language models.
British journal of anaesthesia
Mar 3, 2025
BACKGROUND: Consensus-based large language model (LLM) ensembles might provide an automated solution for extracting structured data from unstructured text in echocardiography reports.
The Evolving Paradigm of Myocardial Infarction in the Era of Artificial Intelligence.
British journal of hospital medicine (London, England : 2005)
Feb 23, 2025
The classification and treatment of myocardial infarction (MI) have evolved significantly over the past few decades, with the ST-segment elevation myocardial infarction (STEMI)/non-STEMI (NSTEMI) paradigm dominating clinical practice. While STEMI, id...
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...
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