Pediatrics

Ethics of Artificial Intelligence in Medicine and Ophthalmology.

BACKGROUND: This review explores the bioethical implementation of artificial intelligence (AI) in me...

Predicting growth parameters of biofertilizer inoculated pepper, using root capacitance assessments and artificial neural networks in two soils.

Monitoring the root system plays an important role in understanding plant physiological processes; h...

Special Issue on CDS Failures: Performance Degradation between Development and Deployment of a Predictive Model for Central-Line Associated Blood Stream Infections in Hospitalized Children.

BACKGROUND: Central line-associated bloodstream infections (CLABSIs) are associated with substantial...

Systems-level Insights to Improve Prenatal Detection of Congenital Heart Disease: Emotional Intelligence Today, Artificial Intelligence Tomorrow.

Emerging Copper-to-Copper Bonding Techniques: Enabling High-Density Interconnects for Heterogeneous Integration.

As CMOS technology continues to downsize to the nanometer range, the exponential growth predicted by...

Prognostic Value of the Brixia Radiological Score in COVID-19 Patients: A Retrospective Study from Romania.

The novel coronavirus pandemic, SARS-CoV-2, has a variable clinical spectrum, ranging from asymptoma...

Peer Relationships Are a Direct Cause of the Adolescent Mental Health Crisis: Interpretable Machine Learning Analysis of 2 Large Cohort Studies.

BACKGROUND: Converging evidence indicates an adolescent mental health crisis in Western societies th...

Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study.

BACKGROUND: Short stature is a prevalent pediatric endocrine disorder for which early detection and ...

Textual forma mentis networks bridge language structure, emotional content and psychopathology levels in adolescents

We introduce a network-based AI framework for predicting dimensions of psychopathology in adolesce...

Data-driven consideration of genetic disorders for global genomic newborn screening programs.

PURPOSE: Over 30 international studies are exploring newborn sequencing (NBSeq) to expand the range ...

Recent advances in multimodal approaches for investigating placental development and related diseases.

The placenta is a vital organ that supports fetal growth and pregnancy maintenance. Its dysfunction ...

Magnetic Resonance Imaging in the Clinical Evaluation of Lung Disorders: Current Status and Future Prospects.

The low proton density and high signal decay rate of pulmonary tissue have previously hampered the a...

Using a Robot to Address the Well-Being, Social Isolation, and Loneliness of Care Home Residents via Video Calls: Qualitative Feasibility Study.

BACKGROUND: About 40,000 people are living in Norwegian care homes, where a majority are living with...

Early-life and concurrent predictors of the healthy adolescent microbiome in a cohort study.

BACKGROUND: The microbiome of adolescents is poorly understood, as are factors influencing its compo...

Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods.

Rapidly increasing healthcare spending globally is significantly driven by high-need, high-cost (HNH...

Machine learning assisted noncontact neonatal anthropometry using FMCW radar.

This study proposes a method for measuring the height and weight of a neonate conveniently, safely, ...

The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023.

Today, drug discovery and development is one of the fields where Artificial Intelligence (AI) is use...

Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology.

The integration of machine-learning technologies into radiology practice has the potential to signif...

Parental education in pediatric dysphagia: A comparative analysis of three large language models.

OBJECTIVES: This study evaluates the effectiveness of three widely used large language models (LLMs)...

New Strategies and Artificial Intelligence Methods for the Mitigation of Toxigenic Fungi and Mycotoxins in Foods.

The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute ...

The Role of Artificial Intelligence in Identifying Gene Variants and Improving Diagnosis.

Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder caused by mutations in the gene, t...