Obstetrics & Gynecology

Pregnancy

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

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Showing 2206-2226 of 3,262 articles
Objective Analysis of Neck Muscle Boundaries for Cervical Dystonia Using Ultrasound Imaging and Deep Learning.

OBJECTIVE: To provide objective visualization and pattern analysis of neck muscle boundaries to info...

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling to Machine Learning.

Ultrasound contrast agents (UCAs) have opened up immense diagnostic possibilities by combined use of...

Real-time prediction of tumor motion using a dynamic neural network.

Radiation dose delivery into the thoracic and abdomen cavities during radiotherapy treatment is a ch...

The Digital Health Revolution and People with Disabilities: Perspective from the United States.

This article serves as the introduction to this special issue on Mobile Health and Mobile Rehabilita...

Machine Learning in Fetal Cardiology: What to Expect.

In fetal cardiology, imaging (especially echocardiography) has demonstrated to help in the diagnosis...

Deep Learning-Based Super-resolution Ultrasound Speckle Tracking Velocimetry.

Deep ultrasound localization microscopy (deep-ULM) allows sub-wavelength resolution imaging with dee...

Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation.

BACKGROUND AND OBJECTIVE: The measurement of carotid intima media thickness (CIMT) in ultrasound ima...

Description of ultrasound-guided quadratus lumborum block technique and evaluation of injectate spread in canine cadavers.

OBJECTIVE: To describe a quadratus lumborum (QL) block technique in canine cadavers and the spread o...

A novel transcranial ultrasound imaging method with diverging wave transmission and deep learning approach.

Real time brain transcranial ultrasound imaging is extremely intriguing because of its numerous appl...

Breast tumor classification through learning from noisy labeled ultrasound images.

PURPOSE: To train deep learning models to differentiate benign and malignant breast tumors in ultras...

DeepFHR: intelligent prediction of fetal Acidemia using fetal heart rate signals based on convolutional neural network.

BACKGROUND: Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate ...

Predicting the serum digoxin concentrations of infants in the neonatal intensive care unit through an artificial neural network.

BACKGROUND: Given its narrow therapeutic range, digoxin's pharmacokinetic parameters in infants are ...

Diagnosis of Parathyroid Adenomas with New Ultrasound Imaging Modalities.

Ultrasound technology is becoming an integral part of diagnosing parathyroid adenomas. Careful ultra...

Assessment of Radiomics and Deep Learning for the Segmentation of Fetal and Maternal Anatomy in Magnetic Resonance Imaging and Ultrasound.

Recent advances in fetal imaging open the door to enhanced detection of fetal disorders and computer...

Are All Deep Learning Architectures Alike for Point-of-Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests Otherwise.

OBJECTIVES: Little is known about optimal deep learning (DL) approaches for point-of-care ultrasound...

Obstetric Hemorrhage Outcomes by Intrapartum Risk Stratification at a Single Tertiary Care Center.

Introduction Postpartum hemorrhage is a leading cause of maternal mortality worldwide. Performance o...

Road Transport of Late-Pregnant Mares Advances the Onset of Foaling.

Cortisol is involved in the initiation of parturition and we hypothesized that increased maternal co...

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