[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …

A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …

Machine learning in fetal cardiology: what to expect

P Garcia-Canadilla, S Sanchez-Martinez… - Fetal diagnosis and …, 2020 - karger.com
In fetal cardiology, imaging (especially echocardiography) has demonstrated to help in the
diagnosis and monitoring of fetuses with a compromised cardiovascular system potentially …

Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes

XP Burgos-Artizzu, D Coronado-Gutiérrez… - Scientific Reports, 2020 - nature.com
The goal of this study was to evaluate the maturity of current Deep Learning classification
techniques for their application in a real maternal-fetal clinical environment. A large dataset …

Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications

D Mennickent, A Rodríguez, MC Opazo… - Frontiers in …, 2023 - frontiersin.org
Introduction Machine learning (ML) corresponds to a wide variety of methods that use
mathematics, statistics and computational science to learn from multiple variables …

Automatic probe movement guidance for freehand obstetric ultrasound

R Droste, L Drukker, AT Papageorghiou… - … Image Computing and …, 2020 - Springer
We present the first system that provides real-time probe movement guidance for acquiring
standard planes in routine freehand obstetric ultrasound scanning. Such a system can …

Artificial intelligence in obstetric ultrasound: a sco** review

R Horgan, L Nehme, A Abuhamad - Prenatal Diagnosis, 2023 - Wiley Online Library
The objective is to summarize the current use of artificial intelligence (AI) in obstetric
ultrasound. PubMed, Cochrane Library, and ClinicalTrials. gov databases were searched …

A generic quality control framework for fetal ultrasound cardiac four-chamber planes

J Dong, S Liu, Y Liao, H Wen, B Lei… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Quality control/assessment of ultrasound (US) images is an essential step in clinical
diagnosis. This process is usually done manually, suffering from some drawbacks, such as …

Automated interpretation of congenital heart disease from multi-view echocardiograms

J Wang, X Liu, F Wang, L Zheng, F Gao, H Zhang… - Medical image …, 2021 - Elsevier
Congenital heart disease (CHD) is the most common birth defect and the leading cause of
neonate death in China. Clinical diagnosis can be based on the selected 2D key-frames …

Segmentation and classification in MRI and US fetal imaging: recent trends and future prospects

J Torrents-Barrena, G Piella, N Masoller… - Medical Image …, 2019 - Elsevier
Fetal imaging is a burgeoning topic. New advancements in both magnetic resonance
imaging and (3D) ultrasound currently allow doctors to diagnose fetal structural …

Artificial intelligence in prenatal ultrasound diagnosis

F He, Y Wang, Y **u, Y Zhang, L Chen - Frontiers in medicine, 2021 - frontiersin.org
The application of artificial intelligence (AI) technology to medical imaging has resulted in
great breakthroughs. Given the unique position of ultrasound (US) in prenatal screening, the …