Pediatrics

An investigation into factors associated with adolescent internet gaming disorder: utilizing machine learning and path analysis model.

With the evolving structure of modern internet gaming, adolescent internet gaming disorder (IGD) has become an increasingly serious public health concern demanding societal attention. Recent research has shifted towards employing more robust machine learning algorithms to explore key risk factors for adolescent IGD. Consequently, this study aims to investigate the mechanisms underlying the onset a...

AI-Based Denoising for Simulated Dose Reduction in Pediatric Chest Radiography: A Prospective Multicenter Evaluation of Image Quality and Diagnostic Performance.

RATIONALE AND OBJECTIVES: Radiation dose reduction in pediatric chest radiography is a clinical priority due to increased radiosensitivity and cumulative lifetime risk. However, substantial dose reduction may degrade image quality and compromise diagnostic performance. Artificial intelligence (AI)-based denoising has emerged as a potential solution, although robust prospective multicenter validati...

Creating gerotechnologists: a call to action for university-based collaboration bridging gerontology and engineering.

This paper urges universities to form interdisciplinary partnerships between gerontology and engineering programs to develop curricula, mentor student...

Rehospitalization in Preterm Infants: Machine Learning Prediction Model & Associated Risk Factors.

BACKGROUND AND OBJECTIVES: Preterm birth is a major global health concern, with preterm infants (PI) at increased risk of morbidity and rehospitalizat...

Graph theory reveals functional connectome disruptions in adolescent major depressive disorder with childhood trauma.

BACKGROUND: Childhood trauma (CT) is a major risk factor for adolescent major depressive disorder (MDD), yet its neurobiological underpinnings and lon...

Machine learning-based mortality prediction for pediatric fulminant myocarditis using cytokine profiles.

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension.

INTRODUCTION AND OBJECTIVES: Risk scores for pulmonary hypertension (PH) have been proven useful in adults. However, no risk score has been validated ...

In silico discovery of nanobody binders to a G-protein coupled receptor using AlphaFold-Multimer.

Antibodies are central mediators of the adaptive immune response, and they are powerful research tools and therapeutics. Antibody discovery requires s...

Modelling the epidemic dynamics of HPV among women in China and optimization of ongoing cervical cancer elimination strategies.

BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study.

BACKGROUND: Once considered a disease observed in older adults, type 2 diabetes is now increasingly seen in youth and adolescence. Young-onset (<40 ye...

LLM predicts human behavior: A BERT-based approach for conscientiousness personality trait detection from online content.

Advancements in deep learning have significantly transformed the Natural Language Processing (NLP) domain, enabling machines to understand and analyze...

Performance of three large language models in answering parent-focused questions on rickets: a dual pediatric-orthopedic specialist evaluation.

Bidirectional Dynamics of Dual Systems and Problematic Internet Use in Children and Adolescents: A Person-Centered Perspective.

OBJECTIVE: Problematic Internet Use (PIU) is a critical public health issue, especially among children and adolescents. The Dual Systems Model posits ...

The ISLES'24 Dataset: A Multimodal Stroke Imaging Dataset with Hyperacute CT, Acute Postinterventional MRI, and 3-month Clinical Outcomes.

Stroke remains a major global health burden (1,2), although outcomes have improved substantially through imaging-guided therapy and endovascular reper...

Effectiveness of a Fully Automated Mobile Therapeutic Versus a General Chatbot in Reducing Depression and Anxiety and Improving Well-Being: Feasibility Randomized Controlled Trial.

BACKGROUND: Given the increasing prevalence of depression and anxiety disorders and enduring barriers to care, there is a critical need for alternativ...

Temperature-Dependent Bioaccumulation of Metals in Marine Mollusks: Integrating Thermal Performance Curves, Machine Learning, and Toxicokinetic Modeling.

Temperature regulates mollusk physiology and can alter metal bioaccumulation through filtration, uptake, growth dilution, and elimination. Yet many to...

An Automated Curriculum to Support Behavioral Health Counseling Among Pediatric Residents: Usability Study.

BACKGROUND: Behavioral health concerns are common in pediatric practice, with pediatricians reporting a lack of skills related to providing effective ...

Delineating Pediatric Adrenocortical Tumors by GC-MS Urinary Steroid Metabolome Analysis: Observations From the MET Study.

INTRODUCTION: Adrenocortical tumors (ACTs) comprise adrenocortical adenomas (ACAs) and adrenocortical carcinomas (ACCs); the latter are highly aggress...

Graves' disease: a new era of pathophysiology-guided therapeutics.

Graves' disease (GD) is an autoimmune entity that had an unchanged treatment paradigm for more than half a century with radioactive iodine, antithyroi...

The future of pediatric airway management.

PURPOSE OF REVIEW: This review examines recent advances in pediatric airway management, including emerging technologies, updated guidelines, and innov...