Pediatrics

Real-time clinical decision support system for early identification of infection and sepsis in the intensive care unit: a retrospective development and prospective deployment study.

BACKGROUND: Sepsis and infection are distinct yet overlapping conditions in the intensive care unit (ICU), posing diagnostic and management challenges due to non-specific clinical features and delayed microbiological confirmation. This study aimed to develop and evaluate a real-time dual-model clinical decision support system for early identification of infection and sepsis based on the Third Inte...

[Current status and challenges of artificial intelligence application in pediatric intensive care unit].

Correction: Artificial intelligence in pediatric myopia - a narrative review.

Reporting of race and ethnicity in studies of artificial intelligence in pediatric urology A secondary analysis of the AI-PEDURO online repository.

INTRODUCTION: While an increasing number of artificial intelligence (AI) models are being developed in pediatric urology, the extent of race/ethnicity...

In Vivo Assessment of Placental Structure and Perfusion in Late-Gestation Pregnancies and Their Association With Fetal Growth.

Adequate placental structure and function are crucial for fetal growth, while placental dysfunction often leads to fetal growth restriction (FGR), ass...

Global Diabetes: Rapidly Changing Landscape and a Rising Tide of Opportunities: The 2025 Distinguished International Service in the Cause of Diabetes Award Lecture.

Diabetes affects an estimated 828 million people worldwide; prevalence is growing rapidly in low- and middle-income countries (LMICs), with major heal...

[Technology-Driven, Human-Centered Care: Challenges and Opportunities].

Rising costs, power shortages, and gaps in service accessibility and care quality rank among the most pressing challenges currently facing the global ...

[Technology-Enabled Nursing Practice: Clinical Decision Support, Early Warning Analytics, and Human-Centered Care].

This article was written to investigate technology-enabled nursing practice, with particular attention given to the integrated use of clinical decisio...

[Care Transformation: The AI- and Data-Driven Shift From Reactive to Proactive and Predictive Care].

With global population aging and the increasing prevalence of chronic diseases, the traditional reactive medical model, which focuses on post-illness ...

From Small Data to Big Decisions: How Clinical Pharmacology Shapes Rare Disease Development.

Rare‑disease drug development is constrained by small and heterogeneous patient populations, limited natural‑history data, and the impracticality of l...

Hearing is caring: Machine learning modelling for the prediction of pediatric unmet hearing health needs.

E3 Ubiquitin Ligase MDM2 Promotes Growth and CD8+ T Cell Dysfunction in Gastric Cancer Through Degradation of SST.

AIM: To figure out the role and molecular mechanism of SST in the progression of GC. METHODS: GC microarray data GSE118916 were downloaded from the GE...

Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combination 10.

Completion of the HEDIS (Healthcare Effectiveness Data and Information Set) Childhood Immunization Status Combination 10 (Combo 10) measure among US c...

From Data to Early Diagnosis: Artificial Intelligence as a Tool to Support Screening and Detection of Autism Spectrum Disorder in Childhood.

PURPOSE OF REVIEW: Autism spectrum disorder (ASD) is a neurodevelopmental condition with significant implications for childhood development and public...

Standard-of-care vs. machine learning-recommended discharge destinations for geriatric surgical inpatients: algorithm development and internal validation.

PURPOSE: Older adults undergoing surgery are at high risk for adverse outcomes due to age-related vulnerabilities. Comprehensive geriatric assessment ...

Evaluation of an AI-Based Constraint-Optimization Scheduler to Optimize On-Call Schedule Equity and Reduce Administrative Burden in a Pediatric Residency: Retrospective Comparative Study.

BACKGROUND: Resident scheduling is a high-dimensional optimization problem with implications for workload, fatigue risk, and equity. Real-world evalua...

Perspectives of Individuals With Obsessive-Compulsive Disorder on the Role of Artificial Intelligence in Therapy and Treatment: Thematic Qualitative Study.

BACKGROUND: AI has become increasingly used in mental health care for applications such as diagnosis, monitoring, and treatment support. These include...

Advancing Human-Centered AI in Clinical Decision Support: Sociocognitive Human-in-the-Loop Study in HIV Care.

BACKGROUND: AI-powered clinical decision support systems (CDSS) have shown promise in improving prediction, monitoring, and treatment optimization acr...

Needs and Concerns Regarding a Pediatric Palliative Telehealth App for Use in Palliative Home Care for Adults Among Providers in Germany: Embedded Mixed Methods Study.

BACKGROUND: Specialized outpatient palliative care (SOPC) provides home-based care for terminally ill patients and is associated with improved quality...

Discovery and development of small-molecule inhibitors targeting cytotoxic T lymphocyte associated protein 4 to enhance cancer immunotherapy and reduce side effects.

The immune system plays crucial role to fight against cancer. Still, cancer cells have evolved mechanisms to evade immune responses, especially throug...