Role of four-chamber heart ultrasound images in automatic assessment of fetal heart: A systematic understanding

A Gudigar, RU, J Samanth, A Vasudeva, K Nayak… - Informatics, 2022 - mdpi.com
The fetal echocardiogram is useful for monitoring and diagnosing cardiovascular diseases
in the fetus in utero. Importantly, it can be used for assessing prenatal congenital heart …

[HTML][HTML] A comprehensive scoping review on machine learning-based fetal echocardiography analysis

N Hernandez-Cruz, O Patey, C Teng… - Computers in Biology …, 2025 - Elsevier
Fetal echocardiography (ultrasound of the fetal heart) plays a vital role in identifying heart
defects, allowing clinicians to establish prenatal and postnatal management plans. Machine …

Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?

TG Day, S Budd, J Tan, J Matthew, E Skelton… - Prenatal …, 2024 - Wiley Online Library
Background Artificial intelligence (AI) has the potential to improve prenatal detection of
congenital heart disease. We analysed the performance of the current national screening …

Artificial intelligence in the pediatric echocardiography laboratory: automation, physiology, and outcomes

MB Nguyen, O Villemain, MK Friedberg… - Frontiers in …, 2022 - frontiersin.org
Artificial intelligence (AI) is frequently used in non-medical fields to assist with automation
and decision-making. The potential for AI in pediatric cardiology, especially in the …

[HTML][HTML] Artificial Intelligence in Fetal and Pediatric Echocardiography

A Wang, TT Doan, C Reddy, PN Jone - Children, 2024 - mdpi.com
Echocardiography is the main modality in diagnosing acquired and congenital heart disease
(CHD) in fetal and pediatric patients. However, operator variability, complex image …

Investigation on ultrasound images for detection of fetal congenital heart defects

S Satish, NHA Rufus - Biomedical Physics & Engineering …, 2024 - iopscience.iop.org
Congenital heart defects (CHD) are one of the serious problems that arise during
pregnancy. Early CHD detection reduces death rates and morbidity but is hampered by the …

Automatic segmentation based on optimization U-Net neural network (OU-NetNN) for fetal cardiac ultrasound images

S Sekar, HA Rufus - International Journal of Information Technology, 2024 - Springer
The primary cause of significant birth defects is congenital heart disease (CHD), which is a
significant worldwide health issue. The method remains a hard challenge because of the …

Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound

H Mykula, L Gasser, S Lobmaier, JA Schnabel… - … Workshop on Advances …, 2024 - Springer
Ultrasonography is an essential tool in mid-pregnancy for assessing fetal development,
appreciated for its non-invasive and real-time imaging capabilities. Yet, the interpretation of …

Adnexal mass segmentation with ultrasound data synthesis

C Lebbos, J Barcroft, J Tan, J Müller, M Baugh… - … Workshop on Advances …, 2022 - Springer
Ovarian cancer is the most lethal gynaecological malignancy. The disease is most
commonly asymptomatic at its early stages and its diagnosis relies on expert evaluation of …