AIMC Topic: Pregnancy

Clear Filters Showing 71 to 80 of 1119 articles

Machine learning center-specific models show improved IVF live birth predictions over US national registry-based model.

Nature communications Apr 17, 2025
Expanding in vitro fertilization (IVF) access requires improved patient counseling and affordability via cost-success transparency. Clinicians ask how two types of live birth prediction (LBP) models perform: machine learning, center-specific (MLCS) m...
Adult Fertilization in Vitro United States Retrospective Studies Pregnancy Female Registries Live Birth Humans Machine Learning
View on PubMed DOI

Artificial intelligence based automatic classification, annotation, and measurement of the fetal heart using HeartAssist.

Scientific reports Apr 16, 2025
This study evaluated the feasibility of HeartAssist, a novel automated tool designed for classification of fetal cardiac views, annotation of cardiac structures, and measurement of cardiac parameters. Unlike previous AI tools that primarily focused o...
Heart Defects, Congenital Fetal Heart Ultrasonography, Prenatal Image Processing, Computer-Assisted Neural Networks, Computer Artificial Intelligence Pregnancy Female Gestational Age Humans
View on PubMed DOI

Optimizing predictive features using machine learning for early miscarriage risk following single vitrified-warmed blastocyst transfer.

Frontiers in endocrinology Apr 16, 2025
RESEARCH QUESTION: Can machine learning models accurately predict the risk of early miscarriage following single vitrified-warmed blastocyst transfer (SVBT)?
Adult Pregnancy Female Embryo Transfer Humans Risk Factors Vitrification Abortion, Spontaneous Machine Learning Retrospective Studies
View on PubMed DOI

Leveraging artificial intelligence in the prediction, diagnosis and treatment of depression and anxiety among perinatal women in low- and middle-income countries: a systematic review.

BMJ mental health Apr 15, 2025
AIM: The adoption of artificial intelligence (AI) tools is gaining traction in maternal mental health (MMH) research. Despite its growing usage, little is known about its prospects and challenges in low- and middle-income countries (LMICs). This stud...
Artificial Intelligence Pregnancy Female Anxiety Depression Developing Countries Humans Pregnancy Complications Depression, Postpartum
View on PubMed DOI

Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening.

BMC pregnancy and childbirth Apr 14, 2025
BACKGROUND: Circulating cell-free RNA (cfRNA) is gaining recognition as an effective biomarker for the early detection of preeclampsia (PE). However, the current methods for selecting disease-specific biomarkers are often inefficient and typically on...
Early Diagnosis Pregnancy Neural Networks, Computer Female Cell-Free Nucleic Acids Humans Risk Assessment Adult Pre-Eclampsia Algorithms Case-Control Studies Biomarkers
View on PubMed DOI

Using machine learning to investigate the influence of the prenatal chemical exposome on neurodevelopment of young children.

Neurotoxicology Apr 11, 2025
Research investigating the prenatal chemical exposome and child neurodevelopment has typically focused on a limited number of chemical exposures and controlled for sociodemographic factors and maternal mental health. Emerging machine learning approac...
Machine Learning Child Development Pregnancy Neurodevelopmental Disorders Female Exposome Infant Environmental Pollutants Child, Preschool Prenatal Exposure Delayed Effects Adult Maternal Exposure Humans Male
View on PubMed DOI

FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI.

NeuroImage Apr 10, 2025
Diffusion MRI (dMRI) offers unique insights into the microstructure of fetal brain tissue in utero. Longitudinal and cross-sectional studies of fetal dMRI have the potential to reveal subtle but crucial changes associated with normal and abnormal neu...
Image Processing, Computer-Assisted Fetus Diffusion Magnetic Resonance Imaging Pregnancy Female Deep Learning Humans Brain
View on PubMed DOI

Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study.

BMC anesthesiology Apr 10, 2025
BACKGROUND: Effective management of postoperative pain remains a significant challenge in obstetric care due to the variability in pain perception and response influenced by physical, medical, and psychosocial factors. Current standardized pain manag...
Pain, Postoperative Ketamine Analgesia, Patient-Controlled Female Cesarean Section Adult Pain Management Humans Machine Learning Pregnancy
View on PubMed DOI

Point-of-care ultrasound in obstetric anesthesia clinical practice.

Current opinion in anaesthesiology Apr 8, 2025
PURPOSE OF THE REVIEW: Point-of-care ultrasound (POCUS) is increasingly recognized as a valuable tool in obstetric anesthesia. This review synthesizes key studies and reviews published within the last 2 years on its application in clinical practice w...
Point-of-Care Systems Nerve Block Ultrasonography, Interventional Anesthesia, Obstetrical Humans Pregnancy Female
View on PubMed DOI

Mother: a maternal online technology for health care dataset.

BMC research notes Apr 8, 2025
OBJECTIVES: These data enable the development of both textual and speech based conversational machine learning models that can be used by expectant mothers to provide answers to challenges they face during the different trimesters of their pregnancy....
Pregnancy Female Young Adult Adult Humans Machine Learning Maternal Health Services Mothers Uganda Pregnancy Trimesters Maternal Health
View on PubMed DOI
Popular Topics
Recent Journals