Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Intervention through an intelligent technological platform for socio-emotional development and health promotion in adolescents with Type 1 Diabetes Mellitus (emoTICare): A study protocol for randomized controlled trial.

BACKGROUND: During adolescence, individuals face various challenges that require adequate psychosocial and emotional adjustment. Additionally, the presence of a chronic illness during this stage, such as Type 1 Diabetes Mellitus (T1DM), introduces additional medical and psychological needs, which can increase vulnerability. In this context, serious games emerge as a promising tool to address educa...

Jun 23 2025 40549745

Editor's view: Value of information in the 21st century - examples from science, medicine, policy, media, and markets.

This editorial explores the concept of the 'value of information' in the 21st century through five distinct domains: science, medicine, policy, media, and markets. It uses examples to show that not all information is of equal value. Valuable information shifts probabilities assigned to our hypotheses in the most meaningful ways. It significantly alters our knowledge and understanding of our contex...

Jun 20 2025 40537053
Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential vaccine target with high sequence conservation ac...

Jun 20 2025 40540236
Adolescent lumbar disc herniation: etiology, diagnosis, and treatment options.

Adolescent lumbar disc herniation (ALDH) is a type of disease with a much lower incidence than adult lumbar disc herniation (LDH), which has a trend o...

Jun 20 2025 40542380
Leveraging machine learning to identify determinants of zero utilization of maternal continuum of care in Ethiopia: Insights from SHAP analysis and the 2019 mini DHS.

Ensuring complete utilization of maternal continuum of care is essential for reducing maternal and neonatal mortality. In Ethiopia, significant gaps r...

Jun 20 2025 40540475
Advances in vaccine adjuvant development and future perspectives.

Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and efficacy, resulting in the need for adjuvants to incre...

Jun 19 2025 40536024
Machine learning model for daily prediction of pediatric sepsis using Phoenix criteria.

BACKGROUND: Early sepsis diagnosis is essential for initiating prompt treatment, preventing the progression of organ failure, and improving the surviv...

Jun 19 2025 40533506
Droplet microfluidics integrated with machine learning reveals how adipose-derived stem cells modulate endocrine response and tumor heterogeneity in ER breast cancer.

Approximately 70% of breast cancer (BC) diagnoses are estrogen receptor positive (ER) with ∼40% of ER BC patients presenting resistance to endocrine ...

Jun 19 2025 40534514
Sentiment Analysis Using a Large Language Model-Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation.

BACKGROUND: The opioid crisis poses a significant health challenge in the United States, with increasing overdoses and death rates due to opioids mixe...

Jun 19 2025 40536906
Seminars in epileptology: How to diagnose status epilepticus in adults and children.

Status epilepticus (SE) can be regarded as the most severe expression of seizure activity characterized by a low probability of spontaneous cessation ...

Jun 18 2025 40528536
Navigating the Maze of Social Media Disinformation on Psychiatric Illness and Charting Paths to Reliable Information for Mental Health Professionals: Observational Study of TikTok Videos.

BACKGROUND: Disinformation on social media can seriously affect mental health by spreading false information, increasing anxiety, stress, and confusio...

Jun 18 2025 40532184
Changes in Epidemiological Characteristics of Varicella and Breakthrough Cases in Ningbo, China, From 2010 to 2023: Surveillance Study.

BACKGROUND: Varicella is a prevalent respiratory infectious disease. Continuous monitoring is essential to understand evolving epidemiological pattern...

Jun 18 2025 40533066
Development of Machine Learning-Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts.

BACKGROUND: Rapid weight gain (RWG) during infancy, defined as an upward crossing of one centile line on a weight growth chart, is highly predictive o...

Jun 18 2025 40532141
A Machine Learning-Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects.

BACKGROUND: Plastic-containing medical devices are commonly used in critical care units and other patient care settings. Patients are often exposed to...

Jun 18 2025 40338266
Functional Characterization of Variants of Unknown Significance of Fibroblast Growth Factor Receptors 1-4 and Comparison With AI Model-Based Prediction.

PURPOSE: Fibroblast growth factor receptors (FGFRs; FGFR1, FGFR2, FGFR3, FGFR4) are frequently mutated oncogenes in solid cancers. The oncogenic poten...

Jun 17 2025 40526877
Low birth weight among neonates: Investigating incidence, risk factors, and AI-enabled predictive modeling for risk estimation.

BackgroundLow birth weight serves as a vital measure of maternal health and the efficacy of prenatal care globally. The study was aimed to assess the ...

Jun 16 2025 40521899
Early outcome-prediction with an automated EEG background trend in hypothermia-treated newborns with encephalopathy.

BACKGROUND: Therapeutic hypothermia is an intervention that improves outcomes and alters early outcome-prediction in infants with moderate-severe hypo...

Jun 16 2025 40523949
Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great Arteries.

L-loop congenitally corrected transposition of the great arteries (ccTGA) is a rare congenital heart defect that may remain undiagnosed for decades an...

Jun 16 2025 40523997
AN INNOVATIVE MACHINE LEARNING-BASED ALGORITHM FOR DIAGNOSING PEDIATRIC OVARIAN TORSION.

AIM: We aimed to develop a machine-learning(ML) algorithm consisting of physical examination, sonographic findings, and laboratory markers.

Jun 16 2025 40532970
Predicting pulmonary hemodynamics in pediatric pulmonary arterial hypertension using cardiac magnetic resonance imaging and machine learning: an exploratory pilot study.

PURPOSE: Pulmonary arterial hypertension (PAH) significantly affects the pulmonary vasculature, requiring accurate estimation of mean pulmonary arteri...

Jun 14 2025 40515976
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