Pediatrics

Bifunctional Phyto-Synthesized Nano Silver for Mitigating Salinity-Induced Dormancy and Associated Fungal Infections During Seed Germination in Brassica juncea with Integration of Machine Learning-Based Predictive Modeling.

Salinity-induced dormancy associated with fungal infection during germination in plants is the major...

From combination early detection to multicancer testing: shifting cancer care toward proactive prevention and interception.

Identifying the presence of tumors at a very early stage or deciphering the process underlying their...

Novel 59-layer dense inception network for robust deepfake identification.

The exponential growth of Artificial Intelligence (AI) has led to the emergence of cutting edge meth...

The impact of China's artificial intelligence development on urban energy efficiency.

Energy efficiency has become a central concern amidst shifting global economic conditions, intensify...

The HARMONEE project: Using GenAI images for reminiscence with older adults in long-term care.

Social isolation and demoralization in older adults in long-term care facilities are critical public...

Identification of inflammation-related biomarkers and therapeutic targets for neurogenic bladder fibrosis via multi-omics analysis.

Inflammatory responses play a crucial role in the progression of pediatric neurogenic bladder (NB)-a...

Early transcriptional responses reveal cell type-specific vulnerability and neuroprotective mechanisms in the neonatal ischemic hippocampus.

Neonatal hypoxic-ischemic (H-I) brain injury, a leading cause of neurodevelopmental disabilities, se...

Dosing prediction of valproic acid in pediatric patients with epilepsy: population pharmacokinetic model or machine learning model?

PURPOSE: This study develops and compares population pharmacokinetics (PopPK) models and machine lea...

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China.

OBJECTIVE: To develop and validate an interpretable machine learning (ML)-based frailty risk predict...

Leveraging machine learning and single-cell RNA sequencing strategies to develop a risk prognosis scoring based on liquid-liquid phase separation feature genes in pediatric hepatoblastoma.

BACKGROUND: Considerable evidence highlights the intricate association between liquid-liquid phase s...

Exploring advanced deep learning approaches in cardiac image analysis: A comprehensive review.

BACKGROUND: Cardiac image analysis plays an important role in detecting and categorizing cardiovascu...

Made in China 2025: Artificial intelligence intervention and urban green economy development.

Against the backdrop of the profound adjustment of the global industrial structure and the rise of t...

Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts.

BACKGROUND: The incidence of intensive care unit (ICU) admissions and the corresponding mortality ra...

Progression risk of adolescent idiopathic scoliosis based on SHAP-Explained machine learning models: a multicenter retrospective study.

Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach.

Pediatric gastroenteritis is a major reason for sickness and death among children worldwide, especia...

Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework.

BACKGROUND: Effective diabetes management requires precise glycemic control to prevent both hypoglyc...

Artificial intelligence and regional anesthesiology education curriculum development: navigating the digital noise.

Artificial intelligence (AI) has demonstrated a disruptive ability to enhance and transform clinical...

Effect of a generative artificial intelligence digital scribe on pediatric provider documentation time, cognitive burden, and burnout.

OBJECTIVE: To assess the effect of a digital scribe among pediatric providers on documentation time,...

How does artificial intelligence accelerate the energy transition? Learning from empirical experience in OECD countries.

The need for an energy transition is increasing due to technological advancements and rapid economic...

Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study.

BACKGROUND: Early detection of malnutrition in critically ill patients is crucial for timely interve...

How well does GPT-4 perform on an emergency medicine board exam? A comparative assessment.

BACKGROUND: Recent advancements in artificial intelligence have shown promise in enhancing diagnosti...