Pediatrics

Interrater Reliability of Electroencephalogram Interpretations in Febrile Comatose African Children: Implications for Automated Interpretation Algorithm Creation.

Electroencephalography (EEG) is a diagnostic and prognostic tool used worldwide in the clinical care of comatose patients. Scalability of EEG use in resource-limited settings is constrained by multiple factors, including the lack of neurophysiologist interpreters. Although machine learning offers a path to creation of automated interpretation algorithms, development is constrained by the need for ...

Prevalence of generative artificial intelligence sexualized image usage by adolescents in the United States.

The prevalence of generative artificial intelligence (GenAI) usage related to sexualized images amongst adolescents is a critical emerging research area. In this exploratory study, a nationally representative online survey of 557 English-speaking individuals aged 13-17 was conducted. Participants were asked about their consensual and non-consensual usage and interactions with sexualized GenAI imag...

Designing a flipped AI-chatbot learning module to support students' environmental literacy development: A Fuzzy Delphi Method.

China's rapid economic growth has exacerbated environmental degradation, posing severe risks to public health and sustainable development. However, cu...

Automated phenotyping of mammary gland tissues using computer vision systems.

Quantifying mammary gland tissue composition is crucial for understanding growth patterns and future lactation potential in dairy heifers, yet convent...

Representation learning for the prediction of length of stay in infants with congenital heart diseases undergoing cardiac surgery.

AIMS: Congenital heart disease is the most common birth defect and significantly impacts health, mortality, and healthcare costs. Accurately estimatin...

Machine learning-based prediction of BV-relevant probiotic functional potential in vaginal-derived Lactobacillus crispatus strains.

The vaginal microbiota plays a pivotal role in maintaining female reproductive health and homeostasis. However, most currently available Lactobacillus...

Teeth identification and numbering in mixed dentition: evaluating deep learning models for pediatric panoramic radiographs.

Structural gender inequities in dental specialty training in Türkiye: evidence from a national cross-sectional study.

BACKGROUND: This study investigated gender-based disparities in specialty preferences among dental students in Türkiye and evaluated the predictive pe...

Effectiveness of machine learning for diagnosis and prognostic prediction of congenital heart disease: a systematic review and meta-analysis.

Characterising responses in group-housed pigs to Salmonella typhimurium infection through integrated computer vision-based behavioural monitoring and statistical analyses.

BACKGROUND: Health monitoring is crucial for early disease detection and prompt intervention to mitigate the disease. Computer vision is one of the no...

Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet-of-things (IOT) and point-of-care testing (POCT) devices.

The integration of artificial intelligence (AI) into healthcare is accelerating and maternity care is at a pivotal moment for the strategic implementa...

DeePedIMV: Deep learning model for early prediction of invasive mechanical ventilation in critically ill children.

BACKGROUND: Acute deterioration requiring invasive mechanical ventilation (IMV) is common in critically ill children and may arise from respiratory, c...

Pediatric nurses' use of generative artificial intelligence and their competency levels.

PURPOSE: This study was conducted to determine pediatric nurses' use of generative artificial intelligence and their level of competency. METHODS: The...

Data-Driven Phenotypic Clusters of Gestational Diabetes Mellitus and Associations With Risk of Perinatal Complications and Postpartum Diabetes.

OBJECTIVE: Management of gestational diabetes mellitus (GDM) largely follows a uniform approach, despite growing recognition of GDM heterogeneity. We ...

Intelligent system for infants' pain detection: pain intensity estimation using deep learning approach.

Pain detection is an important agent for good pain management, especially for patients who are unable to express pain verbally as infants. Recently, p...

Molecular and Pharmacogenetic Marker Evaluation in Relation to the Toxicity and Clinical Response of Acute Lymphoblastic Leukemia Treatment in Indian Children (MPGx-INDALL): Protocol for a Prospective Observational Cohort Study.

BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essential for optimizing outcomes in pediatric acute lymph...

Tailoring Materials Design for Aqueous Energy Storage and Conversion through Electrochemical Reconstruction.

The growing demand for renewable energy has spurred the development of efficient electrochemical systems. Transition metal-based materials serve as ke...

Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a "Fall Prevention" Data Module: Development Study.

BACKGROUND: In aging populations, the demand for care, including care delivery in long-term care (LTC) facilities, is increasing. This situation highl...

Mandibular Distraction Osteogenesis as Paradigm Shift for Treatment of Tongue-Based Obstructive Apnea: Results of a 16-Year, Hospital-Wide Intervention Trial.

BACKGROUND: Mandibular distraction osteogenesis (MDO) has emerged as the preferred surgical treatment for neonatal tongue-based airway obstruction (TB...

Development of a Machine Learning-based Model for Methimazole Dosage Adjustment in Youth With Hyperthyroidism.

CONTEXT: Accurate methimazole (MMI) dose adjustment in pediatric hyperthyroidism is crucial, but individualized titration relies on clinician experien...