Pediatrics

Acceptability and Perceived Utility of Telemedical Consultation during Cardiac Arrest Resuscitation. A Multicenter Survey.

Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack co...

Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.

OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-l...

Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources.

OBJECTIVE: Real-world data (RWD) are increasingly used for pharmacoepidemiology and regulatory innov...

Commentary: Pediatric eye screening - Reaching the unreached.

Evaluation of clinical impact of pharmacogenomics knowledge involved in CPIC guidelines on Chinese pediatric patients.

To evaluate the clinical benefits of implementing pharmacogenomics testing for Chinese pediatric pa...

Machine learning-based prediction of response to growth hormone treatment in Turner syndrome: the LG Growth Study.

Background Growth hormone (GH) treatment has become a common practice in Turner syndrome (TS). Howev...

Robotics in Pediatric Urology.

Robotic surgery has been slow to be fully accepted in the world of pediatric urology largely because...

Update on Intraocular Lens Formulas and Calculations.

Investigators, scientists, and physicians continue to develop new methods of intraocular lens (IOL) ...

Future Vision 2020 and Beyond-5 Critical Trends in Eye Research.

Ophthalmology has been at the forefront of many innovations in basic science and clinical research. ...

Artificial Intelligence Applied to Gastrointestinal Diagnostics: A Review.

Artificial intelligence (AI), a discipline encompassed by data science, has seen recent rapid growth...

Machine Learning and Cochlear Implantation-A Structured Review of Opportunities and Challenges.

OBJECTIVE: The use of machine learning technology to automate intellectual processes and boost clini...

Development of Genome-Derived Tumor Type Prediction to Inform Clinical Cancer Care.

IMPORTANCE: Diagnosing the site of origin for cancer is a pillar of disease classification that has ...

Reducing False Alarm Rates in Neonatal Intensive Care: A New Machine Learning Approach.

UNLABELLED: In neonatal intensive care units (NICUs), 87.5% of alarms by the monitoring system are f...

Artificial intelligence in dentistry: current applications and future perspectives.

Artificial intelligence (AI) encompasses a broad spectrum of emerging technologies that continue to ...

Quantification of Mechanical Forces and Physiological Processes Involved in Pollen Tube Growth Using Microfluidics and Microrobotics.

Pollen tubes face many obstacles on their way to the ovule. They have to decide whether to navigate ...

Realizing the Potential of Robotics for Aged Care Through Co-Creation.

Socially assistive robots have the potential to improve aged care by providing assistance through so...

CHDGKB: a knowledgebase for systematic understanding of genetic variations associated with non-syndromic congenital heart disease.

Congenital heart disease (CHD) is one of the most common birth defects, with complex genetic and env...

[Volume Measurements of Post-transplanted Liver of Pediatric Recipients Using Workstations and Deep Learning].

PURPOSE: The purpose of this study was to propose a method for segmentation and volume measurement o...

An Assessment of Cariogenic and Erosive Potential of Pediatric Liquid Medicaments on Primary Teeth: A Comparative Study.

AIM: To compare the cariogenic and erosive potential of seven commonly prescribed pediatric liquid m...

Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs.

Ensuring correct radiograph view labeling is important for machine learning algorithm development an...

Introduction of thoracoscopic surgery for congenital pulmonary airway malformation in infants: review of 13 consecutive surgical cases.

BACKGROUND: Although complete video-assisted thoracic surgery (C-VATS) has been demonstrated to have...