Pediatrics

A computational study of mental health awareness campaigns on social media.

As public discourse continues to progress online, it is important for mental health advocates, publi...

Applying Natural Language Processing to Evaluate News Media Coverage of Bullying and Cyberbullying.

Bullying events have frequently been the focus of coverage by news media, including news stories abo...

[Classification of heart sound signals in congenital heart disease based on convolutional neural network].

Cardiac auscultation is the basic way for primary diagnosis and screening of congenital heart diseas...

An Introduction to Machine Learning for Clinicians.

The technology at the heart of the most innovative progress in health care artificial intelligence (...

Production of Dextran from Locally Lactobacillus Spp. Isolates.

BACKGROUND: Dextran is a commercially available bacterial exopolysaccharide (EPS) with several indus...

Artificial Intelligence - Futuristic Pediatric Healthcare.

An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

BACKGROUND: Human papillomavirus vaccination and cervical screening are lacking in most lower resour...

Artificial intelligence for pediatric ophthalmology.

PURPOSE OF REVIEW: Despite the impressive results of recent artificial intelligence applications to ...

Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing.

Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental ...

Effects of In Ovo Vitamin D Injection on Subsequent Growth of Broilers.

This study was conducted to investigate the influence of vitamin D (Vit D) administration on growth...

Skeletal bone age assessments for young children based on regression convolutional neural networks.

Pediatricians and pediatric endocrinologists utilize Bone Age Assessment (BAA) for in-vestigations p...

Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules.

IMPORTANCE: Computed tomographic (CT) scanning is the standard for the rapid diagnosis of intracrani...

Social Robots for Hospitalized Children.

BACKGROUND AND OBJECTIVES: Social robots (SRs) are increasingly present in medical and educational c...

Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks.

Although myoelectric pattern recognition (MPR) has been considered as a milestone technique to enabl...

Convolutional Neural Networks to Detect Pediatric Apnea-Hypopnea Events from Oximetry.

Pediatric sleep apnea-hypopnea syndrome (SAHS) is a highly prevalent breathing disorder that is rela...

CLPNet: Cleft Lip and Palate Surgery Support With Deep Learning.

Cleft lip and palate is the most common congenital malformation in oral and maxillofacial region. As...

Automatic and Continuous Discomfort Detection for Premature Infants in a NICU Using Video-Based Motion Analysis.

Frequent pain and discomfort in premature infants can lead to long-term adverse neurodevelopmental o...

A deep learning technique for imputing missing healthcare data.

Missing data is a frequent occurrence in medical and health datasets. The analysis of datasets with ...

Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.

PURPOSE: To use supervised machine learning to predict visual function from retinal structure in ret...

A Machine Learning Strategy for Autism Screening in Toddlers.

OBJECTIVE: Autism spectrum disorder (ASD) screening can improve prognosis via early diagnosis and in...

Designing and Evaluating the Face of Lil'Flo: an Affordable Social Rehabilitation Robot.

We introduce Lil'Flo, an affordable robot for pediatric upper extremity rehabilitation. We present t...