Pediatrics

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

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Deep Learning for Improved Risk Prediction in Surgical Outcomes.

The Norwood surgical procedure restores functional systemic circulation in neonatal patients with si...

AI in mental health.

With the advent of digital approaches to mental health, modern artificial intelligence (AI), and mac...

Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.

PURPOSE: Fetal brain abnormalities are some of the most common congenital malformations that may ass...

Effect of congenital adrenal hyperplasia treated by glucocorticoids on plasma metabolome: a machine-learning-based analysis.

BACKGROUND: Congenital adrenal hyperplasia (CAH) due to 21-hydroxylase deficiency leads to impaired ...

Machine learning paradigm for dynamic contrast-enhanced MRI evaluation of expanding bladder.

Delineation of the bladder under a dynamic contrast enhanced (DCE)-MRI protocol requires robust segm...

Envisioning Insight-Driven Learning Based on Thick Data Analytics With Focus on Healthcare.

Detecting and analyzing patient insights from social media enables healthcare givers to better under...

Leading a Digital Transformation in the Pharmaceutical Industry: Reimagining the Way We Work in Global Drug Development.

We are experiencing seminal times in computing that seem to define a fourth industrial revolution. T...

Pediatric Acute-Onset Neuropsychiatric Syndrome: A Data Mining Approach to a Very Specific Constellation of Clinical Variables.

Pediatric acute onset neuropsychiatric syndrome (PANS) is a clinically heterogeneous disorder prese...

Smart Environments and Social Robots for Age-Friendly Integrated Care Services.

The world is facing major societal challenges because of an aging population that is putting increas...

Prediction of mortality in Intensive Care Units: a multivariate feature selection.

CONTEXT: The critical nature of patients in Intensive Care Units (ICUs) demands intensive monitoring...

The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.

BACKGROUND: Severe sepsis and septic shock are still the leading causes of death in Intensive Care U...

Parametric investigation of the effects of load level on fatigue crack growth in trabecular bone based on artificial neural network computation.

This study reports the development of an artificial neural network computation model to predict the ...

Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit.

Hemodynamic support in neonatal intensive care is directed at maintaining cardiovascular wellbeing. ...

Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve.

The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility ...

Enhancing the Surface Properties of a Bioengineered Anterior Cruciate Ligament Matrix for Use with Point-of-Care Stem Cell Therapy.

We have previously developed a poly(-lactic) acid (PLLA) bioengineered anterior cruciate ligament (A...

Prediction of chronological and biological age from laboratory data.

Aging has pronounced effects on blood laboratory biomarkers used in the clinic. Prior studies have l...

Development and Evaluation of Ontologies in Traditional Medicine: A Review Study.

BACKGROUND:  Development of ontologies in traditional medicine can be a foundation for other applica...

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