Latest AI and machine learning research in pediatrics for healthcare professionals.
Abiotic stresses are major environmental constraints that limit plant growth and productivity, particularly in arid and semi-arid regions where salinity and drought frequently occur simultaneously. In this study, the effects of salt stress (150 mM NaCl), PEG-induced drought stress (4% PEG-8000), and their combined application on the in vitro responses of dragon fruit (Hylocereus undatus) were eval...
Artificial intelligence is increasingly explored in dentistry to improve workflow efficiency and support image-based analysis. This study benchmarks deep learning (DL) and machine learning (ML) approaches for classifying pediatric dental views using a publicly available dataset of 9,562 intraoral images from children aged 1-14 years, covering eight maxillary and mandibular view classes. Under 10-f...
AIM: To develop and evaluate machine learning (ML) models for early cerebral palsy (CP) prediction and identify synergistic perinatal risk factors in ...
BACKGROUND: Low-level viremia (LLV) during nucleos(t)ide analogue therapy for chronic hepatitis B (CHB) is clinically relevant, but its biological bas...
INTRODUCTION: Digital technologies are increasingly integrated into neurorehabilitation programs for Parkinson's Disease (PD), enabling remote deliver...
BACKGROUND: Tissue culture optimization in orchids is constrained by the impracticality of experimentally testing all possible combinations of environ...
UNLABELLED: The atopic march describes the progression from infantile food allergy (FA) to allergic rhinitis (AR) in later childhood. However, not all...
BACKGROUND: Emerging evidence links chronic heat exposure to impaired neurodevelopment, yet research on higher-order cognitive domains remains limited...
OBJECTIVES: We aimed to develop and validate machine-learning models to predict antenatal care (ANC) dropout and describe maternal and neonatal outcom...
INTRODUCTION: Polycystic ovary syndrome (PCOS) is a prevalent endocrine condition in reproductive-aged women, which is associated with adverse materna...
While medication use is common among pregnant women, medication safety remains insufficiently characterized because studies in pregnant women are chal...
Timely identification of children with ileocolic intussusception likely to fail air-enema reduction is critical to avoid delays and bowel perforation....
BACKGROUND: Postoperative sinus tachycardia is a poorly understood complication following the Fontan procedure. The molecular signaling cascades trigg...
BACKGROUND: Digital health technologies are increasingly embedded in Neonatal Intensive Care Units (NICUs), yet the role of nurse-led governance in sh...
Sepsis is a highly heterogeneous syndrome, and conventional clinical indicators and single biomarkers often fail to capture its biological complexity ...
BACKGROUND: This study applied nomogram to develop an intraoperative acquired pressure injury (IAPI) risk prediction model for pediatric cardiac surge...
BACKGROUND: The number of children with medical complexity (CMC) in Japan has exceeded 20,000, doubling over the past 15 years, forming a significant ...
Neurological diseases (NDs) continue to be a leading cause of disability and mortality worldwide, largely due to delayed diagnosis and limited access ...
BACKGROUND: Cyberbullying affects approximately one-third of Thai secondary school students and has been linked to adverse emotional outcomes and ment...
OBJECTIVE: This scoping review aimed to map the existing evidence on the application of artificial intelligence and machine learning in detecting suic...