Pediatrics

Explainable 3D VGG-style convolutional neural network for pediatric hydrocephalus detection on computed tomography: A segmentation-free and fully volumetric deep learning framework.

Pediatric hydrocephalus is commonly assessed on computed tomography (CT) using manual two-dimensiona...

ADAM: advanced design and AI-driven modeling for plant tissue culture media optimization.

BACKGROUND: Optimization of biotechnological processes is traditionally limited by time-consuming tr...

Biological effects of ultrasonic cavitation in cancer therapy: from physics to mechanobiology.

The therapeutic efficacy of systemic treatments in cancer therapy is invariably limited by the bioph...

Emerging role of artificial intelligence in necrotizing enterocolitis and implementation challenges.

Necrotizing enterocolitis (NEC) remains a persistent clinical challenge, with diagnostic strategies ...

Research on the construction of an artificial intelligence model for the early diagnosis of pediatric acute appendicitis: a single-center retrospective study based on complete blood count.

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...

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 prio...

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 enginee...

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)...

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 (M...

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 ...

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 too...

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 hav...

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 ...

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) d...

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 childr...

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 barrier...

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, upt...

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

BACKGROUND: Behavioral health concerns are common in pediatric practice, with pediatricians reportin...