Pediatrics

Multivariate Classification of Adolescent Major Depressive Disorder Using Whole-brain Functional Connectivity.

RATIONALE AND OBJECTIVES: Adolescent major depressive disorder (MDD) is a serious mental health cond...

O blood usage trends in the pediatric population 2015-2019: A multi-institutional analysis.

BACKGROUND: In 2019, AABB released the bulletin "Recommendations on the Use of Group O Red Blood Cel...

Can Artificial Intelligence Coach Faculty to Utilize Growth Mindset Language? A Qualitative Analysis of Feedback Statements.

INTRODUCTION: Feedback is at the core of competency-based medical education. Learner perceptions of ...

Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study.

BACKGROUND: Pertussis is a highly contagious respiratory disease. Even though vaccination has reduce...

Machine learning combined with infrared spectroscopy for detection of hypertension pregnancy: towards newborn and pregnant blood analysis.

Biochemical changes in the cervix during labor are not well understood. This gap in knowledge is sig...

A prospective study for the examination of peripheral blood smear samples in pediatric population using artificial intelligence.

BACKGROUND/AIM: Peripheral blood smear (PBS) and bone marrow aspiration are gold standards of manual...

Interpretable machine learning-based insights into early-life endocrine disruptor exposure and small vulnerable newborns.

Early-life exposure to endocrine-disrupting chemicals (EDCs) may contribute to small vulnerable newb...

Stability of Jurkat cells during short-term liquid storage analyzed by flow imaging microscopy.

The viability of cell-based medicinal products (CBMPs) is a critical quality attribute and must be a...

Integrating bioinformatics and machine learning for comprehensive analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric septic shock.

This study aims to predict and diagnose pediatric septic shock through the screening of immune infil...

Predicting Risk for Patent Ductus Arteriosus in the Neonate: A Machine Learning Analysis.

: Patent ductus arteriosus (PDA) is common in newborns, being associated with high morbidity and mor...

Comment on "Artificial Intelligence for the Diagnosis of Pediatric Appendicitis: A Systematic Review".

Cell Wall-Based Machine Learning Models to Predict Plant Growth Using Onion Epidermis.

The plant cell wall (CW) is a physical barrier that plays a dual role in plant physiology, providing...

Genetic algorithm-optimized artificial neural network for multi-objective optimization of biomass and exopolysaccharide production by Haloferax mediterranei.

Microbial production of industrially important exopolysaccharide (EPS) from extremophiles has severa...

Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis.

We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP...

The Artificial Intelligence-Enhanced Echocardiographic Detection of Congenital Heart Defects in the Fetus: A Mini-Review.

Artificial intelligence (AI) is rapidly gaining attention in radiology and cardiology for accurately...

Comment on "Artificial intelligence for the diagnosis of pediatric appendicitis: A systematic review".

Urban change detection: assessing biophysical drivers using machine learning and Google Earth Engine.

Urban areas are experiencing rapid transformations, driven by population growth, economic developmen...

Evaluating the change and trend of construction land in Changsha City based GeoSOS-FLUS model and machine learning methods.

This study systematically analyzes the land use changes in Changsha City from 2000 to 2023. Three cl...

Artificial intelligence impacts in education and pediatric mental health.

PURPOSE OF REVIEW: Increased accessibility of artificial intelligence to children has raised concern...

Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance.

BACKGROUND: Rural health care providers face unique challenges such as limited specialist access and...

User-Centered Prototype Design of a Health Care Robot for Treating Type 2 Diabetes in the Community Pharmacy: Development and Usability Study.

BACKGROUND: Technology can be an effective tool for providing health services and disease self-manag...