Pediatrics

Machine Learning for Predicting Critical Events Among Hospitalized Children.

IMPORTANCE: Unrecognized deterioration among hospitalized children is associated with a high risk of...

The Impact of Telepresence Robots on Family Caregivers and Residents in Long-Term Care.

Telepresence robots can enhance social connection and support person-centered care in long-term care...

Artificial Intelligence (AI) and The Journal of Pediatric and Adolescent Gynecology (JPAG).

Machine learning in prediction of epidermal growth factor receptor status in non-small cell lung cancer brain metastases: a systematic review and meta-analysis.

BACKGROUND: Epidermal growth factor receptor (EGFR) mutations are present in 10-60% of all non-small...

The Evolution of Patient Empowerment and Its Impact on Health Care's Future.

In the 21st century, health care has been going through a paradigm shift called digital health. Due ...

FIB-SEM: Emerging Multimodal/Multiscale Characterization Techniques for Advanced Battery Development.

The advancement of battery technology necessitates a profound understanding of the physical, chemica...

Probiotic Effects of and on the Growth, Health, and Microbiota of Red Tilapia ( sp.).

This study evaluated the effects of a commercial probiotic containing and on the growth performanc...

A new computational cross-structure-activity relationship (C-SAR) approach applies to a selective HDAC6 inhibitor dataset for accelerated structure development.

Several structure-activity relationship (SAR) methodologies have been developed for the research com...

A scoping review of large language models for generative tasks in mental health care.

Large language models (LLMs) show promise in mental health care for handling human-like conversation...

Investigating Protective and Risk Factors and Predictive Insights for Aboriginal Perinatal Mental Health: Explainable Artificial Intelligence Approach.

BACKGROUND: Perinatal depression and anxiety significantly impact maternal and infant health, potent...

Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study.

BACKGROUND: Cognitive impairment, indicative of Alzheimer disease and other forms of dementia, signi...

Predicting the onset of mental health problems in adolescents.

OBJECTIVE: Mental health problems are the major cause of disability among adolescents. Personalized ...

Clinical assessment of the criticality index - dynamic, a machine learning prediction model of future care needs in pediatric inpatients.

OBJECTIVE: To assess patient characteristics and care factors that are associated with correct and i...

The impact of partner interaction on brief social buffering in adolescent female rats as analyzed by deep learning-based object detection algorithms.

Social buffering is a phenomenon whereby the stress response of anyone exposed to a distressing stim...

Generative Artificial Intelligence Accuracy in Interpreting Forest Plots in Pediatric Surgery Meta-analyses: A Perspective From Pediatric Surgery Meta-analysis Study Group (PESMA).

Nonlinear Topological Photonics: Capturing Nonlinear Dynamics and Optical Thermodynamics.

Combining multiple optical resonators or engineering dispersion of complex media has provided an eff...

Development of an artificial intelligence powered software for automated analysis of skeletal muscle ultrasonography.

Muscle ultrasound has high utility in clinical practice and research; however, the main challenges a...

Social media interaction and built environment effects on urban walking experience: A machine learning analysis of Shanghai Citywalk.

In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents...

Applying user-centred techniques and expert feedback to refine an AI-based app for addressing mobile gaming addiction in adolescents.

BACKGROUND: The prevalent use of smartphones has contributed to a rise in mobile gaming addiction, e...

Managing chronic disease in the digital era: The role of telemedicine apps and platforms.

Chronic diseases such as diabetes, heart disease, or asthma are one of the biggest health challenges...

Suicide risk prediction for Korean adolescents based on machine learning.

Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at...