Obstetrics & Gynecology

Pregnancy

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

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Evaluating reinforcement learning agents for anatomical landmark detection.

Automatic detection of anatomical landmarks is an important step for a wide range of applications in...

Quantifying lung ultrasound comets with a convolutional neural network: Initial clinical results.

Lung ultrasound comets are "comet-tail" artifacts appearing in lung ultrasound images. They are part...

The use of artificial neural network analysis can improve the risk-stratification of patients presenting with suspected deep vein thrombosis.

Artificial neural networks are machine-learning algorithms designed to analyse data without a pre-ex...

Attention gated networks: Learning to leverage salient regions in medical images.

We propose a novel attention gate (AG) model for medical image analysis that automatically learns to...

Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.

BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ...

Gain determination of feedback force for an ultrasound scanning robot using genetic algorithm.

PURPOSE: The remote medical diagnosis system (RMDS) is for providing medical diagnosis to the patien...

Argentinian multicenter study on urinary tract infections due to Streptococcus agalactiae in adult patients.

INTRODUCTION: Streptococcus agalactiae (group B streptococcus, GBS) is a recognized urinary pathogen...

Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images.

BACKGROUND: Quantizing the Breast Imaging Reporting and Data System (BI-RADS) criteria into differen...

Enhanced Anti-tumor of Pep-1 Modified Superparamagnetic Iron Oxide/PTX Loaded Polymer Nanoparticles.

Superparamagnetic iron-oxide nanoparticle (SPION) has gained tremendous attention for drug delivery ...

A novel multiple communication paths for surgical telepresence videos delivery of the maxilla area in oral and maxillofacial surgery.

PURPOSE: A surgical telepresence between two surgical sites where a local surgeon in the surgery sit...

Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.

BACKGROUND: In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules ...

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound.

With the potential for high precision, dexterity, and repeatability, a self-tracked robotic system c...

Association between prenatal exposure to multiple persistent organic pollutants (POPs) and growth indicators in newborns.

Despite the fact that many of persistent organic pollutants (POPs) have been banned for decades, the...

Ultrasonic pretreatment of food waste to accelerate enzymatic hydrolysis for glucose production.

Recovering valuable materials from food waste by applying the concept of a bio-refinery is attractin...

Inverse-micelle synthesis of doxorubicin-loaded alginate/chitosan nanoparticles and assessment of breast cancer cytotoxicity.

Naturally-derived polysaccharides, such as alginate and chitosan, can be assembled to form nanocarri...

Resting Tremor Detection in Parkinson's Disease with Machine Learning and Kalman Filtering.

Adaptive deep brain stimulation (aDBS) is an emerging method to alleviate the side effects and impro...

Nerve Growth Factor Levels in Term Human Infants: Relationship to Prenatal Growth and Early Postnatal Feeding.

BACKGROUND: Nerve growth factor (NGF) plays a key role in neuroprotection and developmental maturity...

Supplementation with long-acting progesterone in early diestrus in beef cattle: II. Relationships between follicle growth dynamics and luteolysis.

The aims were to characterize follicular dynamics in response to supplemental progesterone (P4) and ...

Dual-mode artificially-intelligent diagnosis of breast tumours in shear-wave elastography and B-mode ultrasound using deep polynomial networks.

The main goal of this study is to build an artificial intelligence (AI) architecture for automated e...

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