Pregnancy

Deep Learning-Based Framework for Fast and Accurate Acoustic Hologram Generation.

Acoustic holography has been gaining attention for various applications, such as noncontact particle...

Ultrasound-enhanced catalytic degradation of simulated dye wastewater using waste printed circuit boards: catalytic performance and artificial neuron network-based simulation.

Recent developments of heterogeneous advanced oxidation for refractory organic contaminants and cata...

Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial.

Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...

Establishing the Controlled Delivery of VEGF Using a Hydrogel Loaded Soft Robotic Drug Delivery System With the Aim to Prevascularise Implant Site for Islet Transplantation: Erratum.

Unleashing the mechanism among environmental regulation, artificial intelligence, and global value chain leaps: a roadmap toward digital revolution and environmental sustainability.

Strengthening environmental regulation and adhering to the green as well as sustainable development ...

DeepGA for automatically estimating fetal gestational age through ultrasound imaging.

Accurate estimation of gestational age (GA) is vital for identifying fetal abnormalities. Convention...

Equation learning to identify nano-engineered particle-cell interactions: an interpretable machine learning approach.

Designing nano-engineered particles capable of the delivery of therapeutic and diagnostic agents to ...

Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging.

BACKGROUND: Upon the discovery of ovarian cysts, obstetricians, gynecologists, and ultrasound examin...

Towards machine learning for hydrogel drug delivery systems.

Hydrogel drug delivery system development is complex and laborious, and machine learning (ML) techni...

Establishment of a model for predicting the outcome of induced labor in full-term pregnancy based on machine learning algorithm.

To evaluate and establish a prediction model of the outcome of induced labor based on machine learni...

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology.

We introduce a method for training neural networks to perform image or volume segmentation in which ...

Automatic Segmentation of the Fetus in 3D Magnetic Resonance Images Using Deep Learning: Accurate and Fast Fetal Volume Quantification for Clinical Use.

Magnetic resonance imaging (MRI) provides images for estimating fetal volume and weight, but manual ...

Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer.

Predictive models in neuroimaging are increasingly designed with the intent to improve risk stratifi...

3Ddose verification in prostate proton therapy with deep learning-based proton-acoustic imaging.

Dose delivery uncertainty is a major concern in proton therapy, adversely affecting the treatment pr...

Analysis of suction-based gripping strategies in wildlife towards future evolutions of the obstetrical suction cup.

The design of obstetrical suction cups used for vacuum assisted delivery has not substantially evolv...

Current understanding of biological interactions and processing of DNA origami nanostructures: Role of machine learning and implications in drug delivery.

DNA origami has emerged as an exciting avenue that provides a versatile two and three-dimensional DN...

Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia.

Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in...

Thyroid Nodules on Ultrasound in Children and Young Adults: Comparison of Diagnostic Performance of Radiologists' Impressions, ACR TI-RADS, and a Deep Learning Algorithm.

In current clinical practice, thyroid nodules in children are generally evaluated on the basis of r...

Current Applications of Robot-Assisted Ultrasound Examination.

Despite advances in miniaturization and automation, the need for expert acquisition of a full echoca...

Ultrasound Shear Wave Elasticity Imaging With Spatio-Temporal Deep Learning.

Ultrasound shear wave elasticity imaging is a valuable tool for quantifying the elastic properties o...

Modular robotic platform for precision neurosurgery with a bio-inspired needle: System overview and first in-vivo deployment.

Over the past 10 years, minimally invasive surgery (MIS) has shown significant benefits compared to ...