Pediatrics

[Predicting the need for long-term care: development and comparative evaluation of advanced machine learning models].

BACKGROUND AND AIM OF THE ARTICLE: In recent years, the Bavarian Medical Service (Medizinischer Dienst Bayern, MD Bavaria) has recorded an increasing number of initial assessments without determination of a care level (Pflegegrad) within the assessment process for determining long-term care needs. These initial assessments without a care level determination create considerable administrative burde...

Rethinking the Design of Adolescent Crisis Stabilization Units: A Mixed-Methods Study Using Physical Mock-Up Simulations and Artificial Intelligence.

Limited research has examined safety features in nonhospital settings for adolescents experiencing behavioral health crises, including the crisis stabilization unit (CSU). This mixed-methods study investigated safety through design features (eg, open versus semi-enclosed nursing stations) in an adolescent CSU with experts (clinicians and health care designers) and design trainees (N = 17) using ph...

Diagnostic accuracy and deployment readiness of AI for burn depth assessment across imaging modalities: a PRISMA-DTA systematic review and meta-analysis.

BACKGROUND: AI-based burn depth assessment is rapidly emerging, yet evidence for diagnostic accuracy, generalizability, and deployment readiness remai...

[Annual advances in clinical applications of pulmonary function testing 2025].

This review systematically synthesizes and critically appraises domestic and international advances in pulmonary function tests (PFT) research and cli...

Turning Expert Consensus Into Evidence: European Standards of Clinical Practice for Very Rare Pediatric Tumors in the Era of Big Data, Artificial Intelligence, and Patient Partnership.

Translational Research to Maximize the Impact of e-Oral Health.

The rapid development of digital technologies is reshaping oral health research and care delivery. However, the translation of these innovations into ...

From Other Journals: A Review of Recent Articles by Our Editorial Team - 2026 First Edition.

In this review we provide a brief description of recently published articles addressing topics relevant to pediatric cardiologists. Our hope is to pro...

Artificial Intelligence and Machine Learning in Pediatric Epilepsy: A Systematic Review.

INTRODUCTION: To evaluate the progress of artificial intelligence (AI)-based tools in interpreting clinical data, to compare the existing models, to i...

Heavy metal exposure and dental caries in children and adolescents: a NHANES-based analysis integrating machine learning approaches.

BACKGROUND: Dental caries remains a major public health concern among children and adolescents. While established risk factors such as diet and oral h...

Smart hydrogels for overcoming cancer multidrug resistance.

Multidrug resistance (MDR) remains the principal impediment to curative oncology, driven by complex interplays between cancer cells and the tumor micr...

Infant learning forms lasting memory schemas that influence adult behavior.

Early-life episodic experiences, despite seeming rapidly forgotten, are stored long-term in a latent form. The contribution of this unique hidden memo...

Embedded AI-Assisted Otoscopic Image Screening for Pediatric Otitis Media.

OBJECTIVE: To evaluate an embedded artificial intelligence (AI) system for otoscopic image-based screening and prediagnostic triage of pediatric otiti...

[Not Available].

Carta de lectores relacionada al artículo de Guevara Tirado que lleva por título "Síntomas depresivos del cuestionario PHQ-9 asociados a ideación suic...

Integrating Real-Time Viable Biofluorescent Particle Counters within Robotic Gloveless Isolators.

Advanced technologies in both aseptic filling and environmental monitoring are coming together to improve the resilience and sterility assurance of as...

Risk factors and a predictive model for steinstrasse formation after shock wave lithotripsy in pediatric urolithiasis.

Diagnostic accuracy of artificial intelligence-assisted infant hip ultrasound interpretation for developmental dysplasia of the hip: systematic review and meta-analysis.

BACKGROUND: Ultrasound is the standard imaging test for infant developmental dysplasia of the hip (DDH) but is highly operator-dependent, leading to v...

Serum-free media for cultivated meat: from cellular mechanisms to cost-effective bioprocess design.

Serum-free media (SFM) determine whether cultivated meat (CM) can progress from pilot studies to scalable, food-grade manufacturing. Replacing fetal b...

Detection of pediatric cataracts through non-invasive facial photography using deep convolutional neural networks for early diagnosis.

An Introduction to Machine Learning for the Pediatric Hospitalist.

Machine learning models are increasingly used in clinical research to predict patient outcomes, yet many clinicians lack the training to critically ap...

Composition, Pediatric Representation, and Transparency Disclosure Among FDA-Cleared Radiology Artificial Intelligence Products.