Pediatrics

Development and Validation of a Natural Language Processing Tool to Generate the CONSORT Reporting Checklist for Randomized Clinical Trials.

IMPORTANCE: Adherence to the Consolidated Standards of Reporting Trials (CONSORT) for randomized cli...

Impacts of a Care Robotics Project on Finnish Home Care Workers' Attitudes towards Robots.

Technological advances in elderly care have been rapid, and the introduction of robots in care will ...

AI in the Intensive Care Unit: Up-to-Date Review.

AI is the latest technologic trend that likely will have a huge impact in medicine. AI's potential l...

Bone age assessment based on deep convolution neural network incorporated with segmentation.

PURPOSE: Bone age assessment is not only an important means of assessing maturity of adolescents, bu...

Robot-assisted laparoscopic extravesical versus conventional laparoscopic extravesical ureteric reimplantation for pediatric primary vesicoureteric reflux: a systematic review and meta-analysis.

To perform a systematic review and meta-analysis comparing the outcomes of robotic-assisted laparosc...

Digital Pattern Recognition for the Identification and Classification of Hypospadias Using Artificial Intelligence vs Experienced Pediatric Urologist.

OBJECTIVE: To improve hypospadias classification system, we hereby, show the use of machine learning...

Application of an artificial neural network for the improvement of agricultural drainage water quality using a submerged biofilter.

Artificial neural network (ANN) mathematical models, such as the radial basis function neural networ...

A Study of the Chemistries, Growth Mechanisms, and Antibacterial Properties of Cerium- and Yttrium-Containing Nanoparticles.

Under the current climate, physicians prescribe antibiotics for treating bacterial infections, and s...

An immune-related gene signature for determining Ewing sarcoma prognosis based on machine learning.

PURPOSE: Ewing sarcoma (ES) is one of the most common malignant bone tumors in children and adolesce...

A Demonstration of Machine Learning in Detecting Frequency Following Responses in American Neonates.

In this study, we sought to evaluate the efficiencies of multiple machine learning algorithms in det...

A fuzzy TOPSIS based analysis toward selection of effective security requirements engineering approach for trustworthy healthcare software development.

BACKGROUND: Today's healthcare organizations want to implement secure and quality healthcare softwar...

Exploring the growth of COVID-19 cases using exponential modelling across 42 countries and predicting signs of early containment using machine learning.

The coronavirus disease 2019 (COVID-19) pandemic spread by the single-stranded RNA severe acute resp...

Artificial Intelligence Effecting a Paradigm Shift in Drug Development.

The inverse relationship between the cost of drug development and the successful integration of drug...

GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images.

Brain tumors are one of the major common causes of cancer-related death, worldwide. Growth predictio...

Myricitrin inhibits vascular endothelial growth factor-induced angiogenesis of human umbilical vein endothelial cells and mice.

In the present study, the protective effects of myricitrin against vascular endothelial growth facto...

AI Approaches Towards Prechtl's Assessment of General Movements: A Systematic Literature Review.

General movements (GMs) are spontaneous movements of infants up to five months post-term involving t...

Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.

INTRODUCTION: The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for...

Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking: Development and Validation in Samples Collected from Adolescents and Adults.

BACKGROUND: Fetal exposure to maternal smoking during pregnancy is associated with the development o...

Highly Stable Passive Wireless Sensor for Protease Activity Based on Fatty Acid-Coupled Gelatin Composite Films.

Proteases are often used as biomarkers of many pathologies as well as of microbial contamination and...

Diagnosis of congenital pigmented macules in infants with reflectance confocal microscopy and machine learning.

Automatic unsupervised respiratory analysis of infant respiratory inductance plethysmography signals.

Infants are at risk for potentially life-threatening postoperative apnea (POA). We developed an Auto...