Latest AI and machine learning research in pediatrics for healthcare professionals.
Deep neural networks are increasingly being used in both supervised learning for classification tasks and unsupervised learning to derive complex patterns from the input data. However, the successful implementation of deep neural networks using neuroimaging datasets requires adequate sample size for training and well-defined signal intensity based structural differentiation. There is a lack of eff...
Extracellular matrix (ECM) proteins have been shown to play important roles regulating multiple biological processes in an array of organ systems, including the cardiovascular system. Using a novel bioinformatics text-mining tool, we studied six categories of cardiovascular disease (CVD), namely, ischemic heart disease, cardiomyopathies, cerebrovascular accident, congenital heart disease, arrhythm...
Automated quantitative estimation of spinal curvature is an important task for the ongoing evaluation and treatment planning of Adolescent Idiopathic ...
This study outlines a new method of automatically estimating weed species and growth stages (from cotyledon until eight leaves are visible) of in situ...
BACKGROUND: Adolescents have high rates of nonfatal suicide attempts, but clinically practical risk prediction remains a challenge. Screening can be t...
Adamantinomatous craniopharyngioma (ACP) is an aggressive brain tumor that occurs predominantly in the pediatric population. Conventional diagnosis me...
Medically complex patients consume a disproportionate amount of care resources in hospitals but still often end up with sub-optimal clinical outcomes....
There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). Across different institutions, however, EMR qualit...
BACKGROUND: Pneumococcal vaccination is recommended to patients with rheumatoid arthritis (RA) and primary Sjögren's syndrome (pSS). However, little i...
Identifying a core set of features is one of the most important steps in the development of an automated seizure detector. In most of the published st...
Robotically-driven orthoses (RDO) are promising for treating gait impairment in children with hemiplegia after acquired brain injury (ABI). Despite th...
A conceptual model abstractly defines a number of concepts and their relationships for the purposes of understanding and communication. Once a concept...
INTRODUCTION: Recurrent pregnancy loss (RPL) is defined as three or more spontaneous pregnancy losses before the 20th week of gestation or fetal weigh...
Many industry leaders and academics from the field of machine ethics would have us believe that the inevitability of robots coming to have a larger ro...
Previous research suggested an association between maternal exposure to ambient air pollutants and risk of congenital heart defects (CHDs), though the...
Electronic health records (EHRs) contain critical information useful for clinical studies. Early assessment of patients' mortality in intensive care u...
Future health-care projection projects a significant growth in population by 2020. Health care has seen an exponential growth in technology to address...
The development of central and peripheral neural system depends in part on the emergence of the correct functional connectivity in its input and outpu...
Accurate segmentation of infant brain images into different regions of interest is one of the most important fundamental steps in studying early brain...
Exploring neuroanatomical sex differences using a multivariate statistical learning approach can yield insights that cannot be derived with univariate...