Pediatrics

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

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Prediction of brain maturity in infants using machine-learning algorithms.

Recent resting-state functional MRI investigations have demonstrated that much of the large-scale fu...

Will they participate? Predicting patients' response to clinical trial invitations in a pediatric emergency department.

OBJECTIVE: (1) To develop an automated algorithm to predict a patient's response (ie, if the patient...

Recent advancements in prosthetic hand technology.

Recently, significant advances over the past decade have been made in robotics, artificial intellige...

Expression of rabies virus glycoprotein in the methylotrophic yeast Pichia pastoris.

Rabies is a fatal disease that can be prevented by vaccination. Different approaches were investigat...

MicrO: an ontology of phenotypic and metabolic characters, assays, and culture media found in prokaryotic taxonomic descriptions.

BACKGROUND: MicrO is an ontology of microbiological terms, including prokaryotic qualities and proce...

Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.

Automated seizure detection is a valuable asset to health professionals, which makes adequate treatm...

Optimized Repopulation of Tendon Hydrogel: Synergistic Effects of Growth Factor Combinations and Adipose-Derived Stem Cells.

Tendon-derived extracellular matrix (ECM) hydrogel has been shown to augment tendon healing in vivo...

Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU.

OBJECTIVES: Discharging patients from the Neonatal Intensive Care Unit (NICU) can be delayed for non...

What can Neighbourhood Density effects tell us about word learning? Insights from a connectionist model of vocabulary development.

In this paper, we investigate the effect of neighbourhood density (ND) on vocabulary size in a compu...

Use of machine learning for behavioral distinction of autism and ADHD.

Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue...

Robots Learn to Recognize Individuals from Imitative Encounters with People and Avatars.

Prior to language, human infants are prolific imitators. Developmental science grounds infant imitat...

Rapid identification of slow healing wounds.

Chronic nonhealing wounds have a prevalence of 2% in the United States, and cost an estimated $50 bi...

Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRI.

Tourette syndrome (TS) is a developmental neuropsychiatric disorder characterized by motor and vocal...

Development of Personalized Health Messages to Promote Engagement in Advance Care Planning.

OBJECTIVES: To develop and test the acceptability of personalized intervention materials to promote ...

Learning to Produce Syllabic Speech Sounds via Reward-Modulated Neural Plasticity.

At around 7 months of age, human infants begin to reliably produce well-formed syllables containing ...

Decreased Intra- and Inter-Salience Network Functional Connectivity is Related to Trait Anxiety in Adolescents.

OBJECTIVE: Adolescence is a critical period for the vulnerability of anxiety. Imaging studies focusi...

Multivariate Analyses Applied to Healthy Neurodevelopment in Fetal, Neonatal, and Pediatric MRI.

Multivariate analysis (MVA) is a class of statistical and pattern recognition techniques that involv...

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