Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Accuracy of Trained Physicians is Inferior to Deep Learning-Based Algorithm for Determining Angles in Ultrasound of the Newborn Hip.

PURPOSE:  Sonographic diagnosis of developmental dysplasia of the hip allows treatment with a flexio...

Congenital Hypothyroidism due to a Low Level of Maternal Thyrotropin Receptor-Blocking Antibodies.

INTRODUCTION: Maternal TSH receptor antibodies (TRAbs) can cross the placenta and affect fetal and n...

Tele-robotics and artificial-intelligence in stroke care.

In the last forty years, the field of medicine has experienced dramatic shifts in technology-enhance...

Deep learning for cerebral angiography segmentation from non-contrast computed tomography.

Cerebral computed tomography angiography is a widely available imaging technique that helps in the d...

Digital health technologies: opportunities and challenges in rheumatology.

The past decade in rheumatology has seen tremendous innovation in digital health technologies, inclu...

Indoor location identification of patients for directing virtual care: An AI approach using machine learning and knowledge-based methods.

In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal...

Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates.

OBJECTIVES: We aimed to evaluate the ability of feed-forward neural networks (fNNs) to predict the n...

The understanding of congruent and incongruent referential gaze in 17-month-old infants: an eye-tracking study comparing human and robot.

Several studies have shown that the human gaze, but not the robot gaze, has significant effects on i...

A mechanism-aware and multiomic machine-learning pipeline characterizes yeast cell growth.

Metabolic modeling and machine learning are key components in the emerging next generation of system...

Predicting the Risk of Adverse Events in Pregnant Women With Congenital Heart Disease.

Background Women with congenital heart disease are considered at high risk for adverse events. There...

Using Topic Modeling Methods for Short-Text Data: A Comparative Analysis.

With the growth of online social network platforms and applications, large amounts of textual user-g...

Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media.

BACKGROUND: High-quality medical resources are in high demand worldwide, and the application of arti...

Machine Learning Platform to Discover Novel Growth Inhibitors of Neisseria gonorrhoeae.

PURPOSE: To advance fundamental biological and translational research with the bacterium Neisseria g...

Lio-A Personal Robot Assistant for Human-Robot Interaction and Care Applications.

Lio is a mobile robot platform with a multi-functional arm explicitly designed for human-robot inter...

Fatal case of hospital-acquired hypernatraemia in a neonate: lessons learned from a tragic error.

A 3-week-old boy with viral gastroenteritis was by error given 200 mL 1 mmol/mL hypertonic saline in...

Aptamer based proteomic pilot study reveals a urine signature indicative of pediatric urinary tract infections.

OBJECTIVE: Current urinary tract infection (UTI) diagnostic strategies that rely on leukocyte estera...

Machine learning for pattern detection in cochlear implant FDA adverse event reports.

Medical device performance and safety databases can be analyzed for patterns and novel opportunitie...

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