Obstetrics & Gynecology

Pregnancy

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

3,262 articles
Stay Ahead - Weekly Pregnancy research updates
Subscribe
Browse Categories
Showing 2332-2352 of 3,262 articles
Attention-aware fully convolutional neural network with convolutional long short-term memory network for ultrasound-based motion tracking.

PURPOSE: One of the promising options for motion management in radiation therapy (RT) is the use of ...

Machine learning methods for automated technical skills assessment with instructional feedback in ultrasound-guided interventions.

OBJECTIVE: Currently, there is a worldwide shift toward competency-based medical education. This nec...

Derivation of an optimal trajectory and nonlinear adaptive controller design for drug delivery in cancerous tumor chemotherapy.

Numerous models have investigated cancer behavior by considering different factors in chemotherapy. ...

Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder.

Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause ...

Automatic segmentation of levator hiatus from ultrasound images using U-net with dense connections.

In this paper, we propose a fully automatic method based on a densely connected convolutional networ...

Automatic Tracking of Muscle Cross-Sectional Area Using Convolutional Neural Networks with Ultrasound.

OBJECTIVES: The purpose of this study was to develop an automatic tracking method for the muscle cro...

Neural networks for automatic scoring of arthritis disease activity on ultrasound images.

BACKGROUND: The development of standardised methods for ultrasound (US) scanning and evaluation of s...

Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.

OBJECTIVES: To evaluate a deep convolutional neural network (dCNN) for detection, highlighting, and ...

Diagnosis of focal liver lesions from ultrasound using deep learning.

PURPOSE: The purpose of this study was to create an algorithm that simultaneously detects and charac...

Latent Phase Detection of Hypoxic-Ischemic Spike Transients in the EEG of Preterm Fetal Sheep Using Reverse Biorthogonal Wavelets & Fuzzy Classifier.

Hypoxic-ischemic (HI) studies in preterms lack reliable prognostic biomarkers for diagnostic tests o...

Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net.

A Fully Convolutional Network (FCN) based deep architecture called Dual Path U-Net (DPU-Net) is prop...

Swarm-Fuzzy Rule-Based Targeted Nano Delivery Using Bioinspired Nanomachines.

Cooperative navigation and swarm decision making take center stage in a broad range of distributed a...

Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.

PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate betwe...

Prediction of fetal state from the cardiotocogram recordings using neural network models.

The combination of machine vision and soft computing approaches in the clinical decisions, using tra...

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI.

PURPOSE: The goal of this data challenge was to create a structured dynamic with the following objec...

Automatic segmentation of bone surfaces from ultrasound using a filter-layer-guided CNN.

PURPOSE: Ultrasound (US) provides real-time, two-/three-dimensional safe imaging. Due to these capab...

Beamforming and Speckle Reduction Using Neural Networks.

With traditional beamforming methods, ultrasound B-mode images contain speckle noise caused by the r...

DeephESC 2.0: Deep Generative Multi Adversarial Networks for improving the classification of hESC.

Human embryonic stem cells (hESC), derived from the blastocysts, provide unique cellular models for ...

Decision Fusion-Based Fetal Ultrasound Image Plane Classification Using Convolutional Neural Networks.

Machine learning for ultrasound image analysis and interpretation can be helpful in automated image ...

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures r...

Training improvements for ultrasound beamforming with deep neural networks.

This paper investigates practical considerations of training ultrasound deep neural network (DNN) be...

Browse Categories