AIMC Topic: Heart Defects, Congenital

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Heart Murmurs in Children: Evaluation and Management.

American family physician Mar 1, 2022
Up to 8.6% of infants and 80% of children have a heart murmur during their early years of life. The presence of a murmur can indicate conditions ranging from no discernable pathology to acquired or congenital heart disease. In infants with a murmur, ...
Electrocardiography Humans Infant, Newborn Infant Heart Defects, Congenital Child Artificial Intelligence Echocardiography Heart Murmurs
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Deep learning for detecting congenital heart disease in the fetus.

Nature medicine May 1, 2021
Humans Pregnancy Female Neural Networks, Computer Fetus Deep Learning Heart Defects, Congenital
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[Artificial intelligence technology in cardiac auscultation screening for congenital heart disease: present and future].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Oct 25, 2020
The electronic stethoscope combined with artificial intelligence (AI) technology has realized the digital acquisition of heart sounds and intelligent identification of congenital heart disease, which provides objective basis for heart sound auscultat...
Artificial Intelligence Algorithms Mass Screening Humans Heart Defects, Congenital Heart Auscultation
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Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs.

JAMA cardiology Apr 1, 2020
IMPORTANCE: Chest radiography is a useful noninvasive modality to evaluate pulmonary blood flow status in patients with congenital heart disease. However, the predictive value of chest radiography is limited by the subjective and qualitive nature of ...
Heart Defects, Congenital Blood Circulation Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Pulmonary Circulation Male Infant Child, Preschool Child Deep Learning Retrospective Studies Female Humans
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CHDGKB: a knowledgebase for systematic understanding of genetic variations associated with non-syndromic congenital heart disease.

Database : the journal of biological databases and curation Jan 1, 2020
Congenital heart disease (CHD) is one of the most common birth defects, with complex genetic and environmental etiologies. The reports of genetic variation associated with CHD have increased dramatically in recent years due to the revolutionary devel...
Heart Defects, Congenital Humans Knowledge Bases Genetic Variation Databases, Factual
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[Classification of heart sound signals in congenital heart disease based on convolutional neural network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 25, 2019
Cardiac auscultation is the basic way for primary diagnosis and screening of congenital heart disease(CHD). A new classification algorithm of CHD based on convolution neural network was proposed for analysis and classification of CHD heart sounds in ...
Humans Heart Sounds Sensitivity and Specificity Neural Networks, Computer Heart Defects, Congenital Algorithms
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An artificial neural network prediction model of congenital heart disease based on risk factors: A hospital-based case-control study.

Medicine Feb 1, 2017
An artificial neural network (ANN) model was developed to predict the risks of congenital heart disease (CHD) in pregnant women.This hospital-based case-control study involved 119 CHD cases and 239 controls all recruited from birth defect surveillanc...
Health Status Maternal Exposure Reproductive History Heart Defects, Congenital Logistic Models Socioeconomic Factors Diet Humans Case-Control Studies Neural Networks, Computer Risk Factors Pregnancy Adult Female Sensitivity and Specificity
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A Decision Support System for Cardiac Disease Diagnosis Based on Machine Learning Methods.

Studies in health technology and informatics Jan 1, 2017
This paper proposes a decision support system for screening pediatric cardiac disease in primary healthcare centres relying on the heart sound time series analysis. The proposed system employs our processing method which is based on the hidden Markov...
Heart Defects, Congenital Heart Sounds Humans Software Machine Learning Decision Support Systems, Clinical
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Swarm intelligence applied to the risk evaluation for congenital heart surgery.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jan 1, 2015
Particle Swarm Optimization is an optimization technique based on the positions of several particles created to find the best solution to a problem. In this work we analyze the accuracy of a modification of this algorithm to classify the levels of ri...
Heart Defects, Congenital Algorithms Humans Artificial Intelligence Risk Assessment
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