Pediatrics

Analysis of the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for the pediatric asthma.

Present study is done to analyze the advantages and disadvantages in application of oxygen-driven ae...

Applying Artificial Intelligence to Identify Physiomarkers Predicting Severe Sepsis in the PICU.

OBJECTIVES: We used artificial intelligence to develop a novel algorithm using physiomarkers to pred...

Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.

OBJECTIVE: We executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to enable the co...

Artificial Intelligence in Pediatric Critical Care Medicine: Are We (Finally) Ready?

Antifibrinolytic Therapy in Surgery for Adolescent Idiopathic Scoliosis Does the Level 1 Evidence Translate to Practice?

INTRODUCTION: Previous randomized controlled trials have demonstrated the efficacy of antifibrinolyt...

Applying Machine Learning to Pediatric Critical Care Data.

OBJECTIVES: To explore whether machine learning applied to pediatric critical care data could discov...

Striking the Right Balance-Applying Machine Learning to Pediatric Critical Care Data.

Anatomical Biomarkers for Adolescent Major Depressive Disorder from Diffusion Weighted Imaging using SVM Classifier.

Adolescent Major Depressive Disorder (MDD) is a common and serious mental illness that could lead to...

Investigating the Impact of CNN Depth on Neonatal Seizure Detection Performance.

This study presents a novel, deep, fully convolutional architecture which is optimized for the task ...

Arash: A social robot buddy to support children with cancer in a hospital environment.

This article presents the thorough design procedure, specifications, and performance of a mobile soc...

Computational identification of binding energy hot spots in protein-RNA complexes using an ensemble approach.

MOTIVATION: Identifying RNA-binding residues, especially energetically favored hot spots, can provid...

Deep Learning Lends a Hand to Pediatric Radiology.

Machine Learning for Fetal Growth Prediction.

Birthweight is often used as a proxy for fetal weight. Problems with this practice have recently bee...

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.

The implementation of clinical-decision support algorithms for medical imaging faces challenges with...

Impressions of Humanness for Android Robot may Represent an Endophenotype for Autism Spectrum Disorders.

Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophys...

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.

Tumor growth is associated with cell invasion and mass-effect, which are traditionally formulated by...

Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning.

RATIONALE: Pediatric asthma has variable underlying inflammation and symptom control. Approaches to ...

Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

The analysis of proteomics data can be significantly challenging. Beyond the technical challenges of...

Postoperative neonatal mortality prediction using superlearning.

BACKGROUND: The variable risks associated with neonatal surgery present a challenge to accurate mort...

Training in urological robotic surgery. Future perspectives.

As robotics are becoming more integrated into the medical field, robotic training is becoming more c...

Robotic Implementation of the Necessary Mechanism for the Human Characteristics Simulation: Approach from Self-Care Conceptual Modeling.

The vertiginous development of robotics, as part of the Artificial Intelligence, is currently raisin...