Pregnancy

Automated Segmentation of the Median Nerve in the Carpal Tunnel using U-Net.

Nerve area and motion in carpal tunnel syndrome (CTS) are currently under investigation in terms of ...

Image Quality Assessment of Fetal Brain MRI Using Multi-Instance Deep Learning Methods.

BACKGROUND: Due to random motion of fetuses and maternal respirations, image quality of fetal brain ...

Fetal MRI-based artificial intelligence in gestational age prediction--a practical solution to an unsolved problem?

Magnetically Actuated Drug Delivery Helical Microrobot with Magnetic Nanoparticle Retrieval Ability.

Therapeutic drug delivery microrobots capable of accurate targeting using an electromagnetic actuati...

Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning.

The clinical application of breast ultrasound for the assessment of cancer risk and of deep learning...

Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods.

: At present, thyroid disorders have a great incidence in the worldwide population, so the developme...

Deep learning model for predicting gestational age after the first trimester using fetal MRI.

OBJECTIVES: To evaluate a deep learning model for predicting gestational age from fetal brain MRI ac...

Statistical and Machine Learning Models for Classification of Human Wear and Delivery Days in Accelerometry Data.

Accelerometers are increasingly being used in biomedical research, but the analysis of accelerometry...

Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Drug designing and development is an important area of research for pharmaceutical companies and che...

Predicting women with depressive symptoms postpartum with machine learning methods.

Postpartum depression (PPD) is a detrimental health condition that affects 12% of new mothers. Despi...

Magnetic tri-bead microrobot assisted near-infrared triggered combined photothermal and chemotherapy of cancer cells.

Magnetic micro/nanorobots attracted much attention in biomedical fields because of their precise mov...

Computational methods to automate the initial interpretation of lower extremity arterial Doppler and duplex carotid ultrasound studies.

BACKGROUND: Lower extremity arterial Doppler (LEAD) and duplex carotid ultrasound studies are used f...

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.

Fetal cortical plate segmentation is essential in quantitative analysis of fetal brain maturation an...

Using Deep Learning in a Monocentric Study to Characterize Maternal Immune Environment for Predicting Pregnancy Outcomes in the Recurrent Reproductive Failure Patients.

Recurrent reproductive failure (RRF), such as recurrent pregnancy loss and repeated implantation fai...

Machine learning analysis of pregnancy data enables early identification of a subpopulation of newborns with ASD.

To identify newborns at risk of developing ASD and to detect ASD biomarkers early after birth, we co...

One-shot object parsing in newborn chicks.

Controlled-rearing studies provide the unique opportunity to examine which psychological mechanisms ...

Stakeholders' views on the organisational factors affecting application of artificial intelligence in healthcare: a scoping review protocol.

INTRODUCTION: Artificial intelligence (AI) offers great potential for transforming healthcare delive...

Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear.

A rotator cuff tear (RCT) is an injury in adults that causes difficulty in moving, weakness, and pai...

Machine learning to determine optimal conditions for controlling the size of elastin-based particles.

This paper evaluates the aggregation behavior of a potential drug and gene delivery system that comb...

Proposing a machine-learning based method to predict stillbirth before and during delivery and ranking the features: nationwide retrospective cross-sectional study.

BACKGROUND: Stillbirth is defined as fetal loss in pregnancy beyond 28 weeks by WHO. In this study, ...

Detection of prenatal alcohol exposure using machine learning classification of resting-state functional network connectivity data.

Fetal Alcohol Spectrum Disorder (FASD), a wide range of physical and neurobehavioral abnormalities a...