AIMC Topic: Echocardiography

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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...
Humans Deep Learning Pericarditis, Constrictive Artificial Intelligence Echocardiography
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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 ...
Machine Learning Echocardiography Natural Language Processing Netherlands Humans
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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.
Male Echocardiography Middle Aged Aged Adult Cross-Sectional Studies Information Storage and Retrieval Large Language Models Echocardiography, Transesophageal Monitoring, Intraoperative Natural Language Processing Cardiac Surgical Procedures Humans Female
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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...
Echocardiography Electrocardiography Non-ST Elevated Myocardial Infarction Humans Artificial Intelligence ST Elevation Myocardial Infarction Myocardial Infarction
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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...
Hospital Mortality Artificial Intelligence Electrocardiography Retrospective Studies Humans Ventricular Function, Left Female Aged Ventricular Dysfunction, Left Coronary Care Units Echocardiography Male Diastole Middle Aged
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Deep learning-based video-level view classification of two-dimensional transthoracic echocardiography.

Biomedical physics & engineering express Feb 19, 2025
In recent years, deep learning (DL)-based automatic view classification of 2D transthoracic echocardiography (TTE) has demonstrated strong performance, but has not fully addressed key clinical requirements such as view coverage, classification accura...
Image Processing, Computer-Assisted Video Recording Algorithms Echocardiography Deep Learning Humans
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Enhanced heart failure mortality prediction through model-independent hybrid feature selection and explainable machine learning.

Journal of biomedical informatics Feb 15, 2025
Heart failure (HF) remains a significant public health challenge with high mortality rates. Machine learning (ML) techniques offer a promising approach to predict HF mortality, potentially improving clinical outcomes. However, the effectiveness of th...
Middle Aged Heart Failure Aged Male Echocardiography Machine Learning Humans Algorithms Female
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Ontology-guided machine learning outperforms zero-shot foundation models for cardiac ultrasound text reports.

Scientific reports Feb 14, 2025
Big data can revolutionize research and quality improvement for cardiac ultrasound. Text reports are a critical part of such analyses. Cardiac ultrasound reports include structured and free text and vary across institutions, hampering attempts to min...
Data Mining Humans Machine Learning Echocardiography Natural Language Processing
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Development and Evaluation of a Deep Learning-Based Pulmonary Hypertension Screening Algorithm Using a Digital Stethoscope.

Journal of the American Heart Association Feb 3, 2025
BACKGROUND: Despite the poor outcomes related to the presence of pulmonary hypertension, it often goes undiagnosed in part because of low suspicion and screening tools not being easily accessible such as echocardiography. A new readily available scre...
Echocardiography Middle Aged Deep Learning Aged Male Pulmonary Artery Phonocardiography Predictive Value of Tests Hypertension, Pulmonary Stethoscopes Humans Algorithms Female Reproducibility of Results
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Deep learning image registration for cardiac motion estimation in adult and fetal echocardiography via a focus on anatomic plausibility and texture quality of warped image.

Computers in biology and medicine Jan 29, 2025
Temporal echocardiography image registration is important for cardiac motion estimation, myocardial strain assessments, and stroke volume quantifications. Deep learning image registration (DLIR) is a promising way to achieve consistent and accurate r...
Echocardiography Ultrasonography, Prenatal Deep Learning Image Processing, Computer-Assisted Heart Humans Pregnancy Fetal Heart Algorithms Female Adult
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