Pediatrics

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

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Mapping the Research Landscape of Ageing Population: A Bibliometric Study.

BACKGROUND AND OBJECTIVES: The ageing population is a critical global issue shaped by demographic transitions. Despite growing research, a comprehensive bibliometric analysis of trends, contributors, and thematic evolution is lacking. This study aims to map the research landscape on population ageing from 1940 to 2024, identifying publication trends, key contributors, dominant themes, and emerging...

Apr 29 2026 42057297

Impracticality of banning collection of data on ethnicity and race in artificial intelligence-enabled health care in France.

Artificial intelligence (AI) or machine learning (ML) are revolutionising health care, enhancing diagnostics and treatment through AI-enabled medical devices. However, the effectiveness of AI or ML models is hindered by substantial biases, particularly against minority populations such as African and Afro-descendant people. In this Viewpoint, we discuss the colour-blind policy of France, which pro...

Apr 29 2026 42062120
On cloud microfluidic experiment platform powered by in situ maskless lithography.

Microfluidics has seen rapid growth across research and development, offering significant potential for scientific, engineering, and commercial applic...

Apr 29 2026 42052730
Multi-Institutional Annotated Multiparametric MRI Dataset of Pediatric High-Grade Gliomas.

Pediatric brain tumors are rare and still represent the most common solid tumors in children and the leading cause of cancer-related mortality in the ...

Apr 29 2026 42053414
High-fidelity machine learning models for predicting antibacterial effects of cerium oxide nanoparticles across bacterial strains.

The primary objective of this study is to develop and validate robust data-driven models for accurately predicting bacterial growth inhibition induced...

Apr 29 2026 42053682
Clinical AI is Not (Yet) Trustworthy-But It Could Be.

The growing emphasis on trustworthy artificial intelligence (AI) in health care reflects a shift away from models optimized for predictive performance...

Apr 29 2026 42054664
A New Model for Youth-Driven Community Change: Exploratory Testing of Artificial Intelligence-Supported Citizen Science.

BACKGROUND: Generative artificial intelligence (AI) systems are increasingly used in health and community settings, yet empirical evidence on how they...

Apr 29 2026 42054671
Location based bursty event detection and information dissemination using influencers in Twitter.

In the intelligence information sharing era, social media paved a way to share information around the world without any moratorium, which helps more i...

Apr 29 2026 42056200
The effect of human ratings reliability on machine learning model performance: a case study in infant pain assessment.

Human-annotated data is foundational for supervised machine learning (ML). Low inter-rater reliability often introduces noise that degrades model perf...

Apr 29 2026 42056352
The Impact of Death Anxiety and Spirituality Level on Psychological Well-Being of Geriatric Home Care Patients: Machine Learning Approach.

OBJECTIVE: To investigate the effects of death anxiety and spirituality on the psychological well-being of geriatric home care patients. METHODS: A de...

Apr 29 2026 42046836
Machine learning-assisted paper-based chemiluminescence biosensor for choline quantification in infant milk: toward portable nutritional quality monitoring.

Choline is a critical micronutrient that is involved in neurotransmission, lipid metabolism, and neurodevelopment of infants. Poor consumption of chol...

Apr 29 2026 42049827
Global Co-Occurrence Patterns of Ischemic Heart Disease and Metabolic Dysfunction-Associated Steatotic Liver Disease: Spatial Clusters, Risk Factors, and Quality-of-Care Index.

BACKGROUND: Ischemic heart disease and metabolic dysfunction-associated steatotic liver disease represent significant global health challenges, charac...

Apr 28 2026 42047189
Assessment of Large Language Models for Tracheostomy Care in Pediatrics: ChatGPT vs Claude.

INTRODUCTION: This study aimed to evaluate the accuracy, completeness, clarity, and relevance of responses provided by two freely available large lang...

Apr 28 2026 42047653
Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.

BACKGROUND: Artificial intelligence (AI) is expanding across various medical fields, with machine learning (ML) being increasingly used to enhance pat...

Apr 28 2026 42048495
Applications of Natural Language Processing and Large Language Models for Social Determinants of Health: Systematic Review.

BACKGROUND: Social determinants of health (SDOH) are the social, economic, and environmental conditions that influence health outcomes. SDOH informati...

Apr 28 2026 42048518
Predicting Pediatric Urological Surgery Duration Through Multimodal Patient-Physician Feature Fusion: Deep Learning Framework Incorporating Clinical Text Embedding.

BACKGROUND: Accurate prediction of surgical duration is critical for optimizing operating room scheduling and resource allocation. Existing models, ho...

Apr 28 2026 42048521
A Qualitative Exploration of Ethical Aspects of Using AI in Parkinson Disease: Patient Panel Study.

BACKGROUND: As Parkinson disease (PD) rates increase, so does interest in finding new technological solutions for PD management. Despite substantial e...

Apr 28 2026 42048575
Quantifying Components in a Model Vaccine with Machine-Learning-Augmented Raman Spectroscopy.

Vaccination is a highly efficient strategy in controlling infections. Aluminum-containing adjuvants have long been used to enhance immunogenicity, but...

Apr 28 2026 42049192
A deep learning method for children's self-care problems classification using represent learning and focal loss.

BackgroundAn accurate diagnosis of children's self-care problems significantly matters in the growth and development of children. However, various and...

Apr 28 2026 42050324
Development and validation of the Lebanese Social Media Dependency Scale (LSMDS): A cross-sectional study among university students.

BACKGROUND: Social media use has become pervasive among university students worldwide, with growing evidence linking excessive use to negative psychol...

Apr 28 2026 42048327
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