AIMC Topic: Heart Defects, Congenital

Clear Filters Showing 91 to 100 of 109 articles

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 Machine Learning International Classification of Diseases Heart Defects, Congenital Heart Septal Defects, Atrial Support Vector Machine Natural Language Processing Electronic Health Records
View on PubMed DOI

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...
Heart Defects, Congenital False Positive Reactions International Classification of Diseases Humans Female Machine Learning Algorithms Male
View on PubMed DOI

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
Humans Disease Management Heart Defects, Congenital Artificial Intelligence
View on PubMed DOI

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).
Young Adult Adult Male Humans Female Child, Preschool Child Electrocardiography Deep Learning Adolescent Ventricular Dysfunction, Left Predictive Value of Tests Heart Defects, Congenital Ventricular Dysfunction, Right Magnetic Resonance Imaging, Cine
View on PubMed DOI

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...
Prenatal Diagnosis Deep Learning Magnetic Resonance Imaging Heart Defects, Congenital Female Artificial Intelligence Ultrasonography, Prenatal Pregnancy Humans
View on PubMed DOI

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
Heart Defects, Congenital Artificial Intelligence Fetal Heart Pregnancy Ultrasonography, Prenatal Humans Female
View on PubMed DOI

Digital technology and artificial intelligence for improving congenital heart disease care: alea iacta est.

European heart journal Apr 21, 2024
Artificial Intelligence Digital Technology Humans Heart Defects, Congenital
View on PubMed DOI

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...
Humans Artificial Intelligence Echocardiography Cardiac Imaging Techniques Magnetic Resonance Imaging Heart Defects, Congenital
View on PubMed DOI

Deep-learning model for prenatal congenital heart disease screening generalizes to community setting and outperforms clinical detection.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jan 1, 2024
OBJECTIVES: Despite nearly universal prenatal ultrasound screening programs, congenital heart defects (CHD) are still missed, which may result in severe morbidity or even death. Deep machine learning (DL) can automate image recognition from ultrasoun...
Heart Defects, Congenital Prenatal Diagnosis Sensitivity and Specificity Ultrasonography, Prenatal Deep Learning Female Infant, Newborn Humans Pregnancy
View on PubMed DOI

Cardiac CTA image quality of adaptive statistical iterative reconstruction-V versus deep learning reconstruction "TrueFidelity" in children with congenital heart disease.

Medicine Oct 21, 2022
BACKGROUND: Several recent studies have reported that deep learning reconstruction "TrueFidelity" (TF) improves computed tomography (CT) image quality. However, no study has compared adaptive statistical repeated reconstruction (ASIR-V) using TF in p...
Radiation Dosage Deep Learning Heart Defects, Congenital Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Humans Child Image Processing, Computer-Assisted Heart Atria Algorithms Male Infant
View on PubMed DOI
Popular Topics
Recent Journals