Obstetrics & Gynecology

Pregnancy

Latest AI and machine learning research in pregnancy for healthcare professionals.

3,236 articles
Stay Ahead - Weekly Pregnancy research updates
Subscribe
Browse Specialties
Showing 568-588 of 3,236 articles
Latent representation learning for classification of the Doppler ultrasound images.

The classification of Doppler ultrasound images plays an important role in the diagnosis of pregnanc...

StUdy of Gestational diabetes And Risk using Electronic Data (SUGARED): a population-based cohort study-study protocol.

INTRODUCTION: The incidence of gestational diabetes mellitus (GDM) in Australia has tripled in the l...

A unified deep-learning framework for enhanced patient-specific quality assurance of intensity-modulated radiation therapy plans.

BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...

A feature fusion method based on radiomic features and revised deep features for improving tumor prediction in ultrasound images.

BACKGROUND: Radiomic features and deep features are both vitally helpful for the accurate prediction...

A comprehensive and bias-free machine learning approach for risk prediction of preeclampsia with severe features in a nulliparous study cohort.

Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after ...

Automated assessment of endometrial receptivity for screening recurrent pregnancy loss risk using deep learning-enhanced ultrasound and clinical data.

BACKGROUND: Recurrent pregnancy loss (RPL) poses significant challenges in clinical management due t...

Deep denoising approach to improve shear wave phase velocity map reconstruction in ultrasound elastography.

BACKGROUND: Measurement noise often leads to inaccurate shear wave phase velocity estimation in ultr...

Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7.

Target 3.7 of the Sustainable Development Goals (SDGs) aims for universal access to sexual and repro...

Comparison and analysis of deep learning models for discriminating longitudinal and oblique vaginal septa based on ultrasound imaging.

BACKGROUND: The longitudinal vaginal septum and oblique vaginal septum are female müllerian duct ano...

AI and Technology Enabled Clinical Workflow Redesign.

The rapid evolution of digital health technologies has significantly transformed health care deliver...

Predicting preterm birth using electronic medical records from multiple prenatal visits.

This study aimed to predict preterm birth in nulliparous women using machine learning and easily acc...

Identification of hub genes, diagnostic model, and immune infiltration in preeclampsia by integrated bioinformatics analysis and machine learning.

PURPOSE: This study aimed to identify novel biomarkers for preeclampsia (PE) diagnosis by integratin...

Evaluation of Pregnancy Risks in Women with Subchorionic Hematoma Using Machine Learning Models.

BACKGROUND Subchorionic hematoma (SCH) can lead to blood accumulation and potentially affect pregnan...

NMF typing and machine learning algorithm-based exploration of preeclampsia-related mechanisms on ferroptosis signature genes.

BACKGROUND: Globally, pre-eclampsia (PE) poses a major threat to the health and survival of pregnant...

Pre-trained artificial intelligence language model represents pragmatic language variability central to autism and genetically related phenotypes.

Many individuals with autism experience challenges using language in social contexts (i.e., pragmati...

Interactively Fusing Global and Local Features for Benign and Malignant Classification of Breast Ultrasound Images.

OBJECTIVE: Breast ultrasound (BUS) is used to classify benign and malignant breast tumors, and its a...

Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI.

Fetal health holds paramount importance in prenatal care and obstetrics, as it directly impacts the ...

Enhancing decision-making in tubal ectopic pregnancy using a machine learning approach to expectant management: a clinical article.

OBJECTIVE: To refine decision-making regarding expectant management for ectopic pregnancy (EP) using...

Browse Specialties