AIMC Topic: Heart Defects, Congenital
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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 ...
Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease.
European heart journal
Mar 3, 2025
BACKGROUND AND AIMS: Robust and convenient risk stratification of patients with paediatric and adult congenital heart disease (CHD) is lacking. This study aims to address this gap with an artificial intelligence-enhanced electrocardiogram (ECG) tool ...
Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.
Birth defects research
Mar 1, 2025
BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients with certain congenital heart defects (CHDs). In ICD-defined CHD data sets, the code for secundum atrial septal defect (ASD) is the most common, but it h...
A Generalized Machine Learning Model for Identifying Congenital Heart Defects (CHDs) Using ICD Codes.
Birth defects research
Feb 1, 2025
BACKGROUND: International Classification of Diseases (ICD) codes utilized for congenital heart defect (CHD) case identification in datasets have substantial false-positive (FP) rates. Incorporating machine learning (ML) algorithms following case sele...
Democratizing Congenital Heart Disease Management: The Potential for AI-Enabled Care and Necessary Future Directions.
Journal of the American College of Cardiology
Aug 27, 2024
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).
Data for AI in Congenital Heart Defects: Systematic Review.
Studies in health technology and informatics
Aug 22, 2024
Congenital heart disease (CHD) represents a significant challenge in prenatal care due to low prenatal detection rates. Artificial Intelligence (AI) offers promising avenues for precise CHD prediction. In this study we conducted a systematic review a...
The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard-to-identify fetal cardiac anomalies?
Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Jul 1, 2024
Digital technology and artificial intelligence for improving congenital heart disease care: alea iacta est.
European heart journal
Apr 21, 2024
Novel Techniques in Imaging Congenital Heart Disease: JACC Scientific Statement.
Journal of the American College of Cardiology
Jan 2, 2024
Recent years have witnessed exponential growth in cardiac imaging technologies, allowing better visualization of complex cardiac anatomy and improved assessment of physiology. These advances have become increasingly important as more complex surgical...
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