Pediatrics

Prediction of Resuscitation for Pediatric Sepsis from Data Available at Triage.

Pediatric sepsis imposes a significant burden of morbidity and mortality among children. While the speedy application of existing supportive care measures can substantially improve outcomes, further improvements in delivering that care require tools that go beyond recognizing sepsis and towards predicting its development. Machine learning techniques have great potential as predictive tools, but th...

Inferring pediatric knee skeletal maturity from MRI using deep learning.

PURPOSE: Many children who undergo MR of the knee to evaluate traumatic injury may not undergo a separate dedicated evaluation of their skeletal maturity, and we wished to investigate how accurately skeletal maturity could be automatically inferred from knee MRI using deep learning to offer this additional information to clinicians.

Three-dimensional deep learning to automatically generate cranial implant geometry.

We present a 3D deep learning framework that can generate a complete cranial model using a defective one. The Boolean subtraction between these two mo...

Machine learning-based prediction of critical illness in children visiting the emergency department.

OBJECTIVES: Triage is an essential emergency department (ED) process designed to provide timely management depending on acuity and severity; however, ...

Associations Between Different Dietary Vitamins and the Risk of Obesity in Children and Adolescents: A Machine Learning Approach.

BACKGROUNDS: Simultaneous dietary intake of vitamins is considered as a common and real scenario in daily life. However, limited prospective studies h...

Comparing Duration of Analgesia after Intrathecal Administration of Opioids in Primary Paturients for Lower Segment Cesarean Section.

BACKGROUND: A pain free post operative period is a boon to mother for caring the neonate. We compared injection butorphanol and fentanyl as an adjuvan...

Modeling of the dynamics of vascular embolization by using porous media for the design of injection robots of embolic agents.

Embolization is the prevailing therapy for tumor-targeting, anti-organ hyperfunction, and hemostasis. However, the injection of embolic agents largely...

Methods to Improve Molecular Diagnosis in Genomic Cold Cases in Pediatric Neurology.

During the last decade, genetic testing has emerged as an important etiological diagnostic tool for Mendelian diseases, including pediatric neurologic...

Pediatric Otoscopy Video Screening With Shift Contrastive Anomaly Detection.

Ear related concerns and symptoms represent the leading indication for seeking pediatric healthcare attention. Despite the high incidence of such enco...

How paediatric drug development and use could benefit from OMICs: A c4c expert group white paper.

The safety and efficacy of pharmacotherapy in children, particularly preterms, neonates and infants, is limited by a paucity of good-quality data from...

Analyzing the Effect of Vaccination Over COVID Cases and Deaths in Asian Countries Using Machine Learning Models.

Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running parallel. Coronavirus has mutated into a triple-mutate...

Framework for Integrating Equity Into Machine Learning Models: A Case Study.

Predictive analytic models leveraging machine learning methods increasingly have become vital to health care organizations hoping to improve clinical ...

Developing Affordable, Portable and Simplistic Diagnostic Sensors to Improve Access to Care.

Ophthalmology is a highly technical specialty, especially in the area of diagnostic equipment. While the field is innovative, the access to cutting-ed...

Assessment of the da Vinci Single Port Robotic Platform on Cholecystectomy in Adolescents.

The new da Vinci single port (SP) robotic platform has great appeal for pediatric surgery. To assess its efficacy and identify potential challenges, ...

Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model.

India is a hotspot of the COVID-19 crisis. During the first wave, several lockdowns (L) and gradual unlock (UL) phases were implemented by the governm...

Incidental finding of a congenital unilateral absence of the vas deferens during robotic inguinal hernia repair: missing a crucial landmark. A case report.

INTRODUCTION: We report on a case of congenital unilateral atresia of the vas deferens encountered during a robotic-assisted transabdominal preperiton...

A neuromorphic spiking neural network detects epileptic high frequency oscillations in the scalp EEG.

Interictal High Frequency Oscillations (HFO) are measurable in scalp EEG. This development has aroused interest in investigating their potential as bi...

Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp ( L.).

As an emerging cash crop, industrial hemp ( L.) grown for cannabidiol (CBD) has spurred a surge of interest in the United States. Cultivar selection a...

Research on Chinese Consumers' Attitudes Analysis of Big-Data Driven Price Discrimination Based on Machine Learning.

From the end of 2018 in China, the Big-data Driven Price Discrimination (BDPD) of online consumption raised public debate on social media. To study th...

Design of Automated Deep Learning-Based Fusion Model for Copy-Move Image Forgery Detection.

Due to the exponential growth of high-quality fake photos on social media and the Internet, it is critical to develop robust forgery detection tools. ...