Pediatrics

Exploring Dynamic Changes in Empathic Capability Among Postgraduate Nursing Students During Clinical Internships: An Artificial Intelligence-Assisted Qualitative Study With Human-in-the-Loop Validation.

BACKGROUND: Clinical empathy is essential for postgraduate nursing students. How it changes during clinical internships remains unclear. AIM: To explore changes in empathic capability among Master of Nursing Specialist (MNS) postgraduates during clinical internships. METHODS: A descriptive qualitative design was used. Twenty-four MNS postgraduates from 2 universities in Fujian Province, China, wer...

Integrating ARIMA and Deep Learning Models for Counterfactual Evaluation of Nirsevimab's Early Impact on RSV Infant Admissions.

This study presents a hybrid modelling framework that integrates classical statistical methods (ARIMA) with deep learning architectures to enhance longitudinal forecasting of hospital admissions. We conducted a preliminary, hospital-based evaluation of the early impact of nirsevimab (Beyfortus®), a monoclonal antibody against respiratory syncytial virus (RSV), on infant hospitalisations at the Hôp...

Explainable ML for Predicting Vision Loss in Pediatric NF-1 Patients Using OCT Data.

We applied explainable machine learning to optical coherence tomography (OCT) data from 168 pediatric NF-1 patients to predict vision abnormalities. T...

Machine Learning Prediction of Growth Hormone Response in Children Non-Growth Hormone-Deficient Short Stature.

Height gain under recombinant human growth hormone (rhGH) varies widely in children with short stature, making early, reliable response prediction ess...

Predicting Pediatric Mortality Across Five Intensive Care Units: Toward an Early Warning Using Machine Learning.

Despite the advances in critical care and innovations of medical technology, earlier identification of children at high mortality risk remains challen...

Predicting COVID-19 Vaccination Decision-Making Profiles Among Dutch Adults: From Survey to National Administrative Data.

Individual's vaccination behaviors are influenced by factors such as values and beliefs. Applying latent class analysis (LCA) to such factors from the...

Feasibility of LLM-Assisted Communication Feedback in Simulation-Based Medical Education: A Pilot Study.

The study presents a local large language model pipeline for automated feedback in pediatric simulation-based medical education. The system generates ...

Measuring the Acceptance of Humanoid Robots in Adult Day Care Facilities.

INTRODUCTION: Socially assistive humanoid robots have emerged as promising tools for enhancing mood, engagement, and social connection in clinical and...

Breastfeeding Prediction Using Machine Learning: Insights into Key Predictors and Model Performance.

BACKGROUND: Breastfeeding shows persistent disparities shaped by complex maternal, infant, and household factors, making prediction challenging. As tr...

Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (D...

Interpretable prediction of neonatal mortality and its key predictors using machine learning and SHAP analysis.

INTRODUCTION: Neonatal mortality is still a global public health concern, especially in lower- and middle-income countries like Ethiopia. Machine lear...

Acquisition time/dose reduction in pediatric PET imaging using patch-based deep learning.

BACKGROUND: Deep learning (DL)-based denoising methods have shown promise for reducing radiation dose and/or acquisition time in pediatric PET imaging...

ASO Special Article: Proceedings of the Inaugural Joint US-India Cancer Dialogue: Accelerating Collaboration to Advance Cancer Prevention, Early Detection, Treatment, and Care.

BACKGROUND: Cancer is a leading cause of death in both the USA and India. During Prime Minister Narendra Modi's State Visit to Washington, DC in June ...

Japanese-Language AI Agent System for Human Papillomavirus Vaccine Infoveillance and Public Communication: Development and Feasibility Evaluation.

BACKGROUND: Human papillomavirus (HPV) vaccine hesitancy remains a significant public health challenge in Japan, where proactive vaccination recommend...

Advances in the application of finite element analysis in the diagnosis and treatment of cleft lip and palate and alveolar cleft.

Cleft lip and palate (CLP) and alveolar cleft are common congenital craniofacial anomalies, with postoperative maxillary hypoplasia and secondary defo...

Innovations in pediatric imaging: a scoping review of the past decade with case illustrations.

BACKGROUND: Imaging plays a fundamental and increasing role in the diagnostic work-up of pediatric patients. Non-invasive imaging methods include ultr...

Improved Prediction of Invasive Bacterial Infections in Febrile Infants Using Machine Learning.

BACKGROUND: Existing guidelines for febrile infants aged 8 to 60 days use clinical appearance, age, and laboratory test results to assess the risk of ...

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on second...

Current Documentation in the Delivery Room and Strategies for Improvement.

BACKGROUND: Current neonatal resuscitation program standards recommend the use of real-time documentation completed by a designated scribe. Accurate d...

Identifying the factors influencing long-term care utilization by older adults in China: machine learning analysis.

BACKGROUND: To address the aging population in China, local governments began to encourage the establishment of formal care services and supplement in...