Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Alterations of cerebellar volume were reported in prematurely-born children, adolescents and adults, suggesting long-lasting effects on cerebellar growth. However, studies mostly examined global cerebellar volumes, which could disguise focal, subregional differences. METHODS: Based on T1-/T2-weighted MRI, this voxel-based morphometry study used the SUIT toolbox for optimized analysis o...
OBJECTIVE: This study aimed to examine associations between multiple gaseous air pollutants across different developmental periods and depressive in late adolescence. We also investigated the mediating role of sleep duration. METHODS: This population-based longitudinal cohort study consisted of 10,859 adolescence Taiwan followed up to 2 years. The exposures consisted of residential concentrations ...
AIMS: To describe nurses' experiences in managing malnutrition in hospitalized adults and providing support along an interprofessional nutritional sta...
OBJECTIVES: This study aimed to identify high-risk factors for type 2 diabetes and develop a machine learning (ML)-based diabetes prediction model usi...
Extended reality (XR), encompassing virtual reality (VR), augmented reality (AR), and mixed reality (MR), has emerged as a transformative technology i...
Anesthesia for pediatric neurosurgery represents a highly complex and challenging field, characterized by age-dependent physiological variability, het...
Artificial intelligence (AI) is becoming a new kind of other in the psychic lives of adolescents. From emotionally responsive chatbots to AI-enhanced ...
INTRODUCTION: This article presents eight practical strategies to enhance team-based scholarship in integrated care workforce development for the nonr...
BACKGROUND: Artificial intelligence (AI) is rapidly reshaping oncology, offering advancements in clinical care and patient support. A growing area of ...
BACKGROUND: Deaf individuals often face communication challenges when interacting with those who can hear. Within health care settings, these challeng...
BACKGROUND: Among children's hospitals with integrated high-risk prenatal care and birthing facilities, the reasons for postpartum care-seeking, and d...
BACKGROUND: Minimizing radiation exposure during pediatric spinal deformity correction is critical due to the cumulative lifetime effects of ionizing ...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in pediatric dentistry for caries detection, risk prediction, anomaly identification,...
Purpose To develop and validate an anatomy-aware, two-stage, end-to-end deep learning (DL) pipeline for fetal brain abnormality automated detection on...
BACKGROUND: Current prompting techniques for large language models (LLMs), such as ChatGPT, mainly focus on well-structured, low-uncertainty problems;...
BACKGROUND: Nurses in long-term care spend up to one-third of their working time on documentation, contributing to administrative burden and limited t...
Accurate estimation of fetal growth indicators such as birth weight, birth length, and gestational age at birth is essential for monitoring pregnancy ...
The recent pace of generative media synthesis methods has greatly enhanced the credibility and accessibility of deepfake content, which causes serious...
BACKGROUND: Traditional screening for adolescent depression primarily relies on self-reported symptoms. However, this method is vulnerable to under-re...
Malaria is a leading cause of disease in developing countries. The licensed malaria vaccine RTS,S/AS01 confers partial protection in part due to the e...