Pregnancy

Diagnostic Accuracy of an Integrated AI Tool to Estimate Gestational Age From Blind Ultrasound Sweeps.

IMPORTANCE: Accurate assessment of gestational age (GA) is essential to good pregnancy care but ofte...

Enhancing Obstetric Ultrasonography With Artificial Intelligence in Resource-Limited Settings.

Detailed delineation of the fetal brain in diffusion MRI via multi-task learning

Diffusion-weighted MRI is increasingly used to study the normal and abnormal development of fetal ...

Streamline tractography of the fetal brain in utero with machine learning

Diffusion-weighted magnetic resonance imaging (dMRI) is the only non-invasive tool for studying wh...

Using Process Mining to Improve Digital Service Delivery

We present a case study of Process Mining (PM) for personnel security screening in the Canadian go...

INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support.

Digital health solutions hold promise for enhancing healthcare delivery and patient outcomes, primar...

Data for AI in Congenital Heart Defects: Systematic Review.

Congenital heart disease (CHD) represents a significant challenge in prenatal care due to low prenat...

RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction

The reconstruction of high-quality shape geometry is crucial for developing freehand 3D ultrasound...

Hybrid Artificial Intelligence Solution Combining Convolutional Neural Network and Analytical Approach Showed Higher Accuracy in A-lines Detection on Lung Ultrasound in Thoracic Surgery Patients Compared with Radiology Resident.

OBJECTIVES: Lung ultrasound reduces the number of chest X-rays after thoracic surgery and thus the r...

Advancements in Programmable Lipid Nanoparticles: Exploring the Four-Domain Model for Targeted Drug Delivery

Programmable lipid nanoparticles, or LNPs, represent a breakthrough in the realm of targeted drug ...

A review of robot-assisted ultrasound examination: Systems and technology.

BACKGROUND: At present, the number and overall level of ultrasound (US) doctors cannot meet the medi...

[Deep Learning-Based Artificial Intelligence Model for Automatic Carotid Plaque Identification].

This study aims at developing a dataset for determining the presence of carotid artery plaques in ul...

Machine Learning in Electronic Health Records: Identifying High-Risk Obstetric Patients Pre and During Labor.

Our goal is to apply artificial intelligence (AI) and statistical analysis to understand the relatio...

Black-White Differences in Chronic Stress Exposures to Predict Preterm Birth: Interpretable, Race/Ethnicity-Specific Machine Learning Models.

We developed Multivariate Adaptive Regression Splines (MARS) machine learning models of chronic stre...

Machine learning to identify endometrial biomarkers predictive of pregnancy success following artificial insemination in dairy cows†.

The objective was to identify a set of genes whose transcript abundance is predictive of a cow's abi...

The Holy Grail of obstetric ultrasound: can artificial intelligence detect hard-to-identify fetal cardiac anomalies?

Deep Learning Classification of Prostate Cancer on Confidently Labeled Micro-Ultrasound Images.

Micro-ultrasound is a high-resolution ultrasound technology that has recently been introduced as an ...

Ultrasound for Automated Classification of Full-Thickness Rotator Cuff Tendon Tears using Deep Learning.

Rotator cuff tendon tears, the most common shoulder injuries, are typically diagnosed mainly through...

A comparison between Deep Learning architectures for the assessment of breast tumor segmentation using VSI ultrasound protocol.

Automatic breast tumor ultrasound segmentation is one of the most critical components in the develop...

Exploring Random Forest Machine Learning for Fetal Movement Detection using Abdominal Acceleration and Angular Rate Data.

Fetal movement is a commonly monitored indicator of fetal wellbeing with reductions in fetal movemen...

Monitoring of Lung Ultrasound Acquisition using Infrared Sensors and Artificial Intelligence.

Lung diseases contribute significantly to global mortality rates. The conventional diagnostic techni...