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Diagnostic accuracy of artificial intelligence models in detecting congenital heart disease in the second-trimester fetus through prenatal cardiac screening: a systematic review and meta-analysis

Frontiers in Cardiovascular Medicine

Artificial intelligence (AI)-powered ultrasound provides a potential solution to improve the diagnostic accuracy of fetal CHD screening.MethodsA literature search was conducted across seven databases for systematic review. Most studies utilized deep learning models using either ultrasound or echocardiographic images.

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CHD-CXR: a de-identified publicly available dataset of chest x-ray for congenital heart disease

Frontiers in Cardiovascular Medicine

Congenital heart disease is a prevalent birth defect, accounting for approximately one-third of major birth defects. In response, we have released a dataset containing 828 DICOM chest x-ray files from children with diagnosed congenital heart disease, alongside corresponding cardiac ultrasound reports.

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Creative concepts article: Potential applications of ultrasound-based leadless endocardial pacing in adult congenital heart disease

HeartRhythm

Cardiac device therapy is frequently required for individuals with adult congenital heart disease (ACHD), whether it be for bradyarrhythmia, ventricular tachyarrhythmia, or cardiac resynchronization therapy (CRT).

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What is Ultrafast Ultrasound Imaging?

All About Cardiovascular System and Disorders

Ultrasound techniques currently used in echocardiography uses frame rates from 30-150 frames/s. This limits its temporal resolution for very short lived events, especially in pediatric and congenital heart disease with faster heart rates compared to adults [1]. J Am Coll Cardiol. 2024 Jan 2;83(1):63-81.

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Overcoming the Odds with Expert Fetal Cardiology Care: Zeke and Zane’s Story

Conquering CHD

Zeke and Zane were both diagnosed with hypoplastic left heart syndrome (HLHS) before birth. As far as congenital heart diseases go, HLHS falls on the rarer end of the spectrum. The Heart Institute collaborates with the CFCC through the Fetal Cardiology Program.

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Deep learning denoising reconstruction for improved image quality in fetal cardiac cine MRI

Frontiers in Cardiovascular Medicine

Purpose This study aims to evaluate deep learning (DL) denoising reconstructions for image quality improvement of Doppler ultrasound (DUS)-gated fetal cardiac MRI in congenital heart disease (CHD). Cine imaging was acquired using a balanced steady-state free precession (bSSFP) sequence with Doppler ultrasound gating.

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Prenatal echocardiography diagnosis of a novel combination of bilateral ductus arteriosus and cardiovascular anomalies: a case report and literature review

Frontiers in Cardiovascular Medicine

We describe a fetus with prenatal echocardiographic findings of BDA and right aortic arch mirror-image branching (RAA-MIB) combined with congenital heart disease. Prenatal ultrasound diagnosis of BDA is important and requires a combination of 2D grayscale, CDFI, and STIC images to assist in scanning.