AIMC Topic: Heart Septal Defects, Atrial

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An explainable deep learning model to predict partial anomalous pulmonary venous connection for patients with atrial septal defect.

BMC pediatrics Nov 8, 2024
BACKGROUND: Patients with partial anomalous pulmonary venous connection (PAPVC) usually present asymptomatic and accompanied by intricate anatomical types, which results in missed diagnosis from atrial septal defect (ASD). The present study aimed to ...
Heart Septal Defects, Atrial Scimitar Syndrome Humans Adolescent Child, Preschool Male Child Deep Learning Retrospective Studies Female
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Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning.

Journal of imaging informatics in medicine Feb 12, 2024
Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac function, and is an effective method for atrial septal defect (ASD) examination. This paper aims to study a deep learning method b...
Child Double-Blind Method Video Recording Deep Learning Adolescent Child, Preschool Image Interpretation, Computer-Assisted Heart Septal Defects, Atrial Humans Echocardiography Infant Female Male
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Deep learning-based computer-aided heart sound analysis in children with left-to-right shunt congenital heart disease.

International journal of cardiology Dec 10, 2021
OBJECTIVE: The purpose of this study was to explore a new algorithm model capable of leverage deep learning to screen and diagnose specific types of left-to-right shunt congenital heart disease (CHD) in children.
Heart Septal Defects, Atrial Sound Recordings Heart Defects, Congenital Computers Heart Sounds Stroke Volume Ventricular Function, Left Ductus Arteriosus, Patent Deep Learning Humans Child
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Robotic, totally endoscopic atrial septal defect repair.

Multimedia manual of cardiothoracic surgery : MMCTS Nov 10, 2021
Atrial septal defect accounts for 10-15% of congenital heart disease cases. Small-diameter atrial septal defects diagnosed during infancy or early adulthood are prone to spontaneous closure, whereas uncorrected, persistent moderate or large atrial se...
Treatment Outcome Robotics Robotic Surgical Procedures Humans Heart Septal Defects, Atrial Adult Endoscopy
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Robot-assisted beating-heart surgery for atrial septal defect repair in a case of situs inversus totalis with dextrocardia.

The international journal of medical robotics + computer assisted surgery : MRCAS Jul 5, 2021
BACKGROUND: This paper describes a case of a patient with situs inversus totalis (SIT) and dextrocardia in which robotic atrial septal defect (ASD) repair was successfully performed in a beating heart.
Humans Robotics Robotic Surgical Procedures Female Middle Aged Cardiac Surgical Procedures Heart Septal Defects, Atrial Dextrocardia
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Diagnosing Atrial Septal Defect from Electrocardiogram with Deep Learning.

Pediatric cardiology Apr 27, 2021
The heart murmur associated with atrial septal defects is often faint and can thus only be detected by chance. Although electrocardiogram examination can prompt diagnoses, identification of specific findings remains a major challenge. We demonstrate ...
Predictive Value of Tests Heart Septal Defects, Atrial Humans Deep Learning Female Child Neural Networks, Computer Electrocardiography Male Retrospective Studies Echocardiography
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Transthoracic echocardiography monitoring during ASD closure using an artificial hand system.

Cardiovascular ultrasound Jun 17, 2020
AIM: Continuous real-time echocardiographic monitoring is essential for guidance during ASD closure. However, transthoracic echocardiography (TTE) can only be implemented intermittently during fluoroscopy. We evaluate a novel approach to provide real...
Heart Septal Defects, Atrial Echocardiography Middle Aged Equipment Design Humans Adolescent Young Adult Child, Preschool Artificial Intelligence Ultrasonography, Interventional Adult Child Female Cardiac Catheterization Monitoring, Intraoperative Male
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Pediatric Electrocardiogram-Based Deep Learning to Predict Secundum Atrial Septal Defects.

Pediatric cardiology Jun 1, 2025
Secundum atrial septal defect (ASD2) detection is often delayed, with the potential for late diagnosis complications. Recent work demonstrated artificial intelligence-enhanced ECG analysis shows promise to detect ASD2 in adults. However, its applicat...
Retrospective Studies Female Male Echocardiography Humans Electrocardiography Heart Septal Defects, Atrial Child, Preschool Child ROC Curve Infant Deep Learning Adolescent
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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...
Humans Natural Language Processing Heart Defects, Congenital Machine Learning International Classification of Diseases Electronic Health Records Heart Septal Defects, Atrial Support Vector Machine
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Cardiac Chamber Segmentation Using Deep Learning on Magnetic Resonance Images from Patients Before and After Atrial Septal Occlusion Surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
We propose a robust technique for segmenting magnetic resonance images of post-atrial septal occlusion intervention in the cardiac chamber. The technique can be used to determine the surgical outcomes of atrial septal defects before and after implant...
Humans Neural Networks, Computer Heart Septal Defects, Atrial Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Spectroscopy
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