Pediatrics

Likelihood-Based Methods for Assessing Principal Surrogate Endpoints in Vaccine Trials.

When evaluating principal surrogate biomarkers in vaccine trials, missingness in potential outcomes ...

Why the huge growth in AI spells a big opportunity for transdisciplinary researchers.

Predicting childhood obesity using electronic health records and publicly available data.

BACKGROUND: Because of the strong link between childhood obesity and adulthood obesity comorbidities...

Novel pediatric-automated respiratory score using physiologic data and machine learning in asthma.

OBJECTIVES: Manual clinical scoring systems are the current standard used for acute asthma clinical ...

Qualification of a chemotherapy-compounding robot.

KIRO® Oncology (Kiro Grifols, Spain) is a robotic system for automated compounding of sterile inject...

Coupling growth kinetics modeling with machine learning reveals microbial immigration impacts and identifies key environmental parameters in a biological wastewater treatment process.

BACKGROUND: Ubiquitous in natural and engineered ecosystems, microbial immigration is one of the mec...

Application of artificial intelligence in pediatrics: past, present and future.

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks.

Missing data is a common problem in longitudinal studies due to subject dropouts and failed scans. W...

Machine Learning Readmission Risk Modeling: A Pediatric Case Study.

BACKGROUND: Hospital readmission prediction in pediatric hospitals has received little attention. St...

The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink.

OBJECTIVE: Local reactions are the most common vaccine-related adverse event. There is no specific d...

Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems.

This article examines the history of the telemedicine intensive care unit (tele-ICU), the current st...

Laparoscopic pediatric pyeloplasty using the Flexdex® articulating needle driver: step-by-step video.

Ureteropelvic junction (UPJ) stenosis is the most common cause of pathological neonatal hydronephros...

Identifying as American Indian/Alaska Native in Urban Areas: Implications for Adolescent Behavioral Health and Well-Being.

American Indian and Alaska Native (AI/AN) youth exhibit multiple health disparities, including high ...

A supervised machine learning approach to characterize spinal network function.

Spontaneous activity is a common feature of immature neuronal networks throughout the central nervou...

Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.

BACKGROUND: Machine learning models may enhance the early detection of clinically relevant hyperbili...

Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation.

Adolescent binge drinking has been associated with higher risks for the development of many health p...

Robot-assisted laparoscopic midureteral stricture repair and percutaneous stent placement in an infant.

Mid-ureteral strictures in infants are a rare cause of hydronephrosis. In this surgical technique vi...

Effects of robotic rehabilitation on walking and balance in pediatric patients with hemiparetic cerebral palsy.

BACKGROUND: The most prominent characteristics of hemiparetic cerebral palsy (hCP) children are stru...

Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination.

Lung auscultation is an important part of a physical examination. However, its biggest drawback is i...

Machine learning concepts, concerns and opportunities for a pediatric radiologist.

Machine learning, a subfield of artificial intelligence, is a rapidly evolving technology that offer...

An Adolescent with Progressive Enlargement of Digits: Case report and proposed diagnostic criteria for macrodystrophia lipomatosa.

Macrodystrophia lipomatosa (ML) is a rare congenital non-hereditary condition caused by an increase ...