AIMC Topic: Pregnancy

Clear Filters Showing 561 to 570 of 1121 articles

A Deep Learning Approach for the Assessment of Signal Quality of Non-Invasive Foetal Electrocardiography.

Sensors (Basel, Switzerland) Apr 26, 2022
Non-invasive foetal electrocardiography (NI-FECG) has become an important prenatal monitoring method in the hospital. However, due to its susceptibility to non-stationary noise sources and lack of robust extraction methods, the capture of high-qualit...
Algorithms Pregnancy Female Humans Neural Networks, Computer Fetus Deep Learning Electrocardiography Signal Processing, Computer-Assisted
View on PubMed DOI

Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation: Facilitating use of this technology in low resource settings of South Asia and East Africa.

Journal of global health Apr 23, 2022
BACKGROUND: Knowledge of gestational age is critical for guiding preterm neonatal care. In the last decade, metabolic gestational dating approaches emerged in response to a global health need; because in most of the developing world, accurate antenat...
Dry Ice Technology Humans Infant, Newborn Pakistan Machine Learning Temperature Pregnancy Female Infant Gestational Age Tanzania
View on PubMed DOI

Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda.

BMC pregnancy and childbirth Apr 22, 2022
Machine Learning (ML) has been widely used in predicting the mode of childbirth and assessing the potential maternal risks during pregnancy. The primary aim of this review study is to explore current research and development perspectives that utilize...
Humans Machine Learning Pregnancy Algorithms Female Health Personnel Parturition Delivery of Health Care
View on PubMed DOI

Natural language processing of admission notes to predict severe maternal morbidity during the delivery encounter.

American journal of obstetrics and gynecology Apr 14, 2022
BACKGROUND: Severe maternal morbidity and mortality remain public health priorities in the United States, given their high rates relative to other high-income countries and the notable racial and ethnic disparities that exist. In general, accurate ri...
Female Natural Language Processing Humans Retrospective Studies Artificial Intelligence Electronic Health Records Machine Learning Pregnancy
View on PubMed DOI

Prediction of low Apgar score at five minutes following labor induction intervention in vaginal deliveries: machine learning approach for imbalanced data at a tertiary hospital in North Tanzania.

BMC pregnancy and childbirth Apr 1, 2022
BACKGROUND: Prediction of low Apgar score for vaginal deliveries following labor induction intervention is critical for improving neonatal health outcomes. We set out to investigate important attributes and train popular machine learning (ML) algorit...
Machine Learning Pregnancy Female Humans Tanzania Delivery, Obstetric Apgar Score Infant, Newborn Tertiary Care Centers Labor, Induced
View on PubMed DOI

Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning.

NeuroImage Mar 21, 2022
The quantification of subcortical volume development from 3D fetal ultrasound can provide important diagnostic information during pregnancy monitoring. However, manual segmentation of subcortical structures in ultrasound volumes is time-consuming and...
Humans Neural Networks, Computer Brain Pregnancy Image Processing, Computer-Assisted Female Observer Variation Deep Learning Ultrasonography
View on PubMed DOI

Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.

Journal of healthcare engineering Mar 16, 2022
Toxoplasmosis is a zoonotic illness caused by . Those with a normal immune system normally recover without treatment. Immunocompromised individuals and pregnant women must be treated regularly. Toxoplasmosis is a serious illness that may reactivate i...
Retrospective Studies Pregnancy Female Humans Zinc Oxide Zinc Machine Learning Toxoplasmosis Blood Proteins Metal Nanoparticles Immunoglobulins
View on PubMed DOI

Scrutinizing high-risk patients from ASC-US cytology via a deep learning model.

Cancer cytopathology Mar 15, 2022
BACKGROUND: Atypical squamous cells of undetermined significance (ASC-US) is the most frequent but ambiguous abnormal Papanicolaou (Pap) interpretation and is generally triaged by high-risk human papillomavirus (hrHPV) testing before colposcopy. This...
Colposcopy Atypical Squamous Cells of the Cervix Papillomavirus Infections Papillomaviridae Artificial Intelligence Pregnancy Female Uterine Cervical Neoplasms Deep Learning Vaginal Smears Humans
View on PubMed DOI

Artificial intelligence in perinatal diagnosis and management of congenital heart disease.

Seminars in perinatology Mar 13, 2022
Prenatal diagnosis and management of congenital heart disease (CHD) has progressed substantially in the past few decades. Fetal echocardiography can accurately detect and diagnose approximately 85% of cardiac anomalies. The prenatal diagnosis of CHD ...
Heart Defects, Congenital Prenatal Diagnosis Humans Pregnancy Artificial Intelligence Female Algorithms Echocardiography
View on PubMed DOI

Imaging fetal anatomy.

Seminars in cell & developmental biology Mar 10, 2022
Due to advancements in ultrasound techniques, the focus of antenatal ultrasound screening is moving towards the first trimester of pregnancy. The early first trimester however remains in part, a 'black box', due to the size of the developing embryo a...
Prenatal Diagnosis Artificial Intelligence Pregnancy Female Infant, Newborn Magnetic Resonance Imaging Fetus Humans
View on PubMed DOI
Popular Topics
Recent Journals