Pediatrics

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...

Development and Evaluation of an Automated Machine Learning Algorithm for In-Hospital Mortality Risk Adjustment Among Critical Care Patients.

OBJECTIVES: Risk adjustment algorithms for ICU mortality are necessary for measuring and improving I...

Medicine and technology. Remarks on the notion of responsibility in the technology-assisted health care.

The introduction of the modern diagnostic and therapeutic procedures to the medical practice provide...

Multiple flood vulnerability assessment approach based on fuzzy comprehensive evaluation method and coordinated development degree model.

Flood is a serious challenge that increasingly affects the residents as well as policymakers. Flood ...

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...

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.

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

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...

Development of a Culturally Appropriate Smokeless Tobacco Cessation Program for American Indians.

This study describes a multiphasic approach to the development of a smokeless tobacco cessation prog...

Levels and effectiveness of oral retinol supplementation in VLBW preterm infants.

Retinol palmitate oral administration is convenient, but it is difficult to assess/monitor its nutri...

The Effects of Mouth Opening and Throat Pack Placement on Uncuffed Nasal Endotracheal Tube Leakage and Delivered Tidal Volumes in Mechanically Ventilated Pediatric Patients Undergoing Dental Procedures.

Intubation for pediatric patients is frequently performed with an uncuffed endotracheal tube (ETT), ...

Association of Procalcitonin Value and Bacterial Coinfections in Pediatric Patients With Viral Lower Respiratory Tract Infections Admitted to the Pediatric Intensive Care Unit.

OBJECTIVE: Our primary objective was to determine the utility of procalcitonin (PCT) in detection of...

Handmade trileaflet valve design and validation for patch-valved conduit reconstruction using generalized regression machine learning model.

Pulmonary valve diseases include the different degrees of aortic stenosis or congenital defects in c...

Learning Healthcare Systems in Pediatrics: Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments (CADDIE).

BACKGROUND: The vast amount of data generated in healthcare can be reused to support decision-making...

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...

Training in urological robotic surgery. Future perspectives.

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

Postoperative neonatal mortality prediction using superlearning.

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

Integrative Analysis of Proteomics Data to Obtain Clinically Relevant Markers.

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

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 ...