Pediatrics

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

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Showing 22-42 of 6,400 articles
Machine learning-based prediction of circuit clotting during pediatric continuous kidney replacement therapy sessions.

BACKGROUND: Continuous kidney replacement therapy (CKRT) is commonly used for managing acute kidney ...

Quantifying the Predictability of Lesion Growth and Its Contribution to Quantitative Resistance Using Field Phenomics.

Measuring individual components of pathogen reproduction is key to understanding mechanisms underlyi...

AI-powered technologies in physical education: impact on physical and psycho-emotional well-being of students.

The main research goal is to analyze artificial intelligence (AI) technologies integrated into colle...

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future.

Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundament...

A Novel Dual-Output Deep Learning Model Based on InceptionV3 for Radiographic Bone Age and Gender Assessment.

Hand-wrist radiographs are used in bone age prediction. Computer-assisted clinical decision support ...

Redesigning miR-34a: structural and chemical advances in the therapeutic development of an miRNA anti-cancer agent.

MicroRNAs (miRNAs) represent a promising class of therapeutics due to their ability to down-regulate...

Transforming Pediatric Rare Disease Drug Development: Enhancing Clinical Trials and Regulatory Evidence With Virtual Patients.

Drug development in pediatric rare diseases is complicated by practical and ethical constraints on c...

Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach.

With the growth of social media, people are sharing more content than ever, including X posts that r...

Social Context Matters-Characterizing Adolescent Cooperation Strategies When Perceiving the Other as a Peer Versus Computer Partner.

INTRODUCTION: Cooperation is a crucial prosocial skill refined during adolescence, a period marked b...

Advancing sociotechnical systems theory: New principles for human-robot team design and development.

This paper reviews and adapts sociotechnical systems (STS) principles for the design and development...

Development and Pilot Testing of an Artificial Intelligence and Care Coach Intervention for Cognitively Impaired Older Adults.

BACKGROUND: Care transitions from the emergency department (ED) to community settings are particular...

Deep Learning-Based Point Cloud Compression: An In-Depth Survey and Benchmark.

With the maturity of 3D capture technology, the explosive growth of point cloud data has burdened th...

Pan-cancer Analyses Refine the Single-Cell Portrait of Tumor-Infiltrating Dendritic Cells.

Dendritic cells (DCs) are pivotal orchestrators of anti-tumor immunity. DC-based anti-tumor treatmen...

AI-Guided Decision Support in Acute Cardiac Care: From Chest Pain to STEMI.

Artificial intelligence (AI) is rapidly transforming the landscape of acute cardiac care, offering n...

A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques.

Nonsuicidal self-injury (NSSI) demonstrates escalating prevalence among adolescents as a maladaptive...

Influencing factors and dynamic changes of COVID-19 vaccine hesitancy in China: From the perspective of machine learning analysis.

Exploring the influencing factors of COVID-19 vaccine hesitancy and summarizing countermeasures is o...

Development and validation of a real-time risk prediction model for acute kidney injury in hospitalized pediatric patients.

BACKGROUND: Acute kidney injury is associated with a prolonged hospital stay and high mortality for ...

Evaluating Dynamic Smile Outcomes of Free Gracilis Muscle Transfer in Pediatric Facial Palsy Using Image-Based Analysis.

BACKGROUND: Facial nerve palsy in children leads to significant functional impairment and facial asy...

A prediction model for genetic cholestatic disease in infancy using the machine learning approach.

OBJECTIVES: Cholestasis in infancy poses a complex clinical conundrum for pediatric hepatologists, w...

Feature representation in analysing childhood vaccination defaulter risk predictors: A scoping review of studies in low-resource settings.

Childhood vaccination saves millions of lives yearly, yet over a million children in low-and middle-...

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