Obstetrics & Gynecology

Pregnancy

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

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Showing 379-399 of 3,232 articles
Combining artificial intelligence assisted image segmentation and ultrasound based radiomics for the prediction of carotid plaque stability.

PURPOSE: Utilizing artificial intelligence (AI) technology for the segmentation of plaques on ultras...

Artificial intelligence for predicting interstitial fibrosis and tubular atrophy using diagnostic ultrasound imaging and biomarkers.

BACKGROUND: Chronic kidney disease (CKD) is a global health concern characterised by irreversible re...

Extraction of fetal heartbeat locations in abdominal phonocardiograms using deep attention transformer.

Assessing fetal health traditionally involves techniques like echocardiography, which require skille...

Leveraging artificial intelligence for inclusive maternity care: Enhancing access for mothers with disabilities in Africa.

Women with disabilities face significant barriers in accessing maternal healthcare, which increases ...

Automated chick gender determination using optical coherence tomography and deep learning.

Chick gender classification is crucial for optimizing poultry production, yet traditional methods su...

Liver lesion segmentation in ultrasound: A benchmark and a baseline network.

Accurate liver lesion segmentation in ultrasound is a challenging task due to high speckle noise, am...

Utilization of machine learning approach for production of optimized PLGA nanoparticles for drug delivery applications.

This study investigates utilization of machine learning for the regression task of predicting the si...

AI-driven innovations in smart multifunctional nanocarriers for drug and gene delivery: A mini-review.

The convergence of artificial intelligence (AI) and nanomedicine has revolutionized the design of sm...

Machine learning based model for the early detection of Gestational Diabetes Mellitus.

BACKGROUND: Gestational Diabetes Mellitus (GDM) is one of the most common medical complications duri...

SSAT-Swin: Deep Learning-Based Spinal Ultrasound Feature Segmentation for Scoliosis Using Self-Supervised Swin Transformer.

OBJECTIVE: Scoliosis, a 3-D spinal deformity, requires early detection and intervention. Ultrasound ...

Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models.

BACKGROUND: Metabolic-bariatric surgery (MBS) is the last effective way to lose weight whom around h...

Rapid Blood Clot Removal via Remote Delamination and Magnetization of Clot Debris.

Micro/nano-scale robotic devices are emerging as a cutting-edge approach for precision intravascular...

Towards automatic US-MR fetal brain image registration with learning-based methods.

Fetal brain imaging is essential for prenatal care, with ultrasound (US) and magnetic resonance imag...

The Application of Machine Learning Models to Predict Stillbirths.

: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clini...

Early prediction of postpartum dyslipidemia in gestational diabetes using machine learning models.

This study addresses a gap in research on predictive models for postpartum dyslipidemia in women wit...

Proposing a machine learning-based model for predicting nonreassuring fetal heart.

The capacity to forecast nonreassuring fetal heart (NFH) is essential for minimizing perinatal compl...

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