Pediatrics

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

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Predictive learning: its key role in early cognitive development.

What is a fundamental ability for cognitive development? Although many researchers have been address...

Artificial Intelligence and Deep Learning: The Future of Medicine and Medical Practice.

Artificial Intelligence (AI) and access to "Big Data" together with the evolving techniques in biote...

The Role of the ACR Data Science Institute in Advancing Health Equity in Radiology.

Commercially available artificial intelligence (AI) algorithms outside of health care have been show...

Artificial Intelligence and the Future of the Drug Safety Professional.

The healthcare industry, and specifically the pharmacovigilance industry, recognizes the need to sup...

Accurate Age Determination for Adolescents Using Magnetic Resonance Imaging of the Hand and Wrist with an Artificial Neural Network-Based Approach.

This study proposes an accurate method in assessing chronological age of the adolescents using a mac...

Continuous Glucose Monitoring Linked to an Artificial Intelligence Risk Index: Early Footprints of Intraventricular Hemorrhage in Preterm Neonates.

OBJECTIVE: To develop and validate a new risk score for intraventricular hemorrhage (IVH) in preterm...

MCO: towards an ontology and unified vocabulary for a framework-based annotation of microbial growth conditions.

MOTIVATION: A major component in increasing our understanding of the biology of an organism is the m...

The Effectiveness of the Game of Dice Task in Predicting At-Risk and Problem Gambling Among Adolescents: The Contribution of the Neural Networks.

The Game of Dice Task (GDT; Brand et al. in Neuropsychology 19:267-277, 2005a; Psychiatry Res 133:91...

Childhood Asthma: Advances Using Machine Learning and Mechanistic Studies.

A paradigm shift brought by the recognition that childhood asthma is an aggregated diagnosis that co...

Assessment criteria for the lawfulness of artificial intelligence technologies application in health care.

OBJECTIVE: Introduction: The topicality of this research is reasoned by the lack of the unified asse...

Hematological disturbances in Down syndrome: single centre experience of thirteen years and review of the literature.

Karakurt N, Uslu İ, Aygün C, Albayrak C. Hematological disturbances in Down syndrome: single centre ...

Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications.

Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional f...

Mammalian Annotation Database for improved annotation and functional classification of Omics datasets from less well-annotated organisms.

Next-generation sequencing technologies and the availability of an increasing number of mammalian an...

Three Problems with Big Data and Artificial Intelligence in Medicine.

The rise of big data and artificial intelligence (AI) in health care has engendered considerable exc...

A Phenotypic Description of Congenital Myotonic Dystrophy using PhenoStacks.

BACKGROUND: Congenital Myotonic Dystrophy (CDM1) is a rare neuromuscular condition caused by a tripl...

Socially Assistive Robots (SAR) in In-Patient Care for the Elderly.

In-patient care of the elderly is currently being put to the test in all developed industrial nation...

Analysis of Primary Care Computerised Medical Records with Deep Learning.

The analysis of primary care data plays an important role in understanding health at an individual a...

Artificial Intelligence and Radiology in Singapore: Championing a New Age of Augmented Imaging for Unsurpassed Patient Care.

Artificial intelligence (AI) has been positioned as being the most important recent advancement in r...

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