Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: To develop a machine learning model for early differentiation of primary immune thrombocytopenia (pITP) from connective tissue disease-related thrombocytopenia (CTD-TP) in children presenting with thrombocytopenia. METHOD: A retrospective study was conducted on 387 newly diagnosed children with thrombocytopenia. All patients were clinically diagnosed and divided into a training set and...
Yield-Graph enables accurate maize yield prediction from incomplete multi-stage phenotypic and environmental data by modeling higher-order environment-trait interactions, with robust applicability across growth stages, regions, and crop species. Accurate yield prediction before maize harvest is crucial for advancing agricultural management and ensuring food security. Unlike conventional approaches...
OBJECTIVES: To identify clinically established and frequently utilized routine head computed tomography (CT) acquisition techniques in children and ad...
PURPOSE: To develop a framework that benchmarks penalized statistical inference against explainable artificial intelligence (XAI) methods for predicti...
RATIONALE AND OBJECTIVES: Radiology residency often fails to account for individual differences between residents or provide sufficient exposure to di...
Evaluating hand and wrist radiographs is essential in pediatric endocrinology and clinical genetics, particularly for the assessment of suspected skel...
PURPOSE: The primary purpose of the study was to explore the impact of health workers' awareness of artificial intelligence (AI) on their workplace we...
Technological advancements show great potential in transforming and advancing global surgery. Compared to general medicine, technology in neurosurgery...
BACKGROUND: Understanding the structure of plant seeds cultivated for human consumption and food manufacturing is vital to provide sustainable product...
Myopia stands as a major threat to the eye health of children and adolescents, impacting their daily lives and academic performance. Early detection a...
BACKGROUND: Bone age assessment using the Greulich and Pyle atlas is widely used in pediatrics but is subject to substantial reader variability. As ar...
Neoantigen vaccines have rekindled interest in therapeutic cancer vaccination, yet their clinical efficacy remains constrained by imperfect antigen pr...
BACKGROUND: Nailfold capillaroscopy is a non-invasive method to visualize altered microcirculation in pediatric rheumatic disease, with potential to a...
Caregiver-infant vocal interactions are foundational for early development, yet most evidence is derived from brief laboratory or home-visit observati...
The increase in life expectancy over the past century has been accompanied by the recognition of age as the primary risk factor for a wide range of pa...
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are emerging as transformative tools in healthcare, with significant potential to e...
BACKGROUND: Artificial intelligence (AI) methods are increasingly used to strengthen policy evaluation in managed care pharmacy. Among Medicare benefi...
OBJECTIVE: White matter (WM), as the critical infrastructure for neural communication, is implicated in pediatric bipolar disorder (PBD) pathophysiolo...
BACKGROUND: Operative vaginal delivery (OVD) is an important alternative to cesarean section, but the relative outcomes of vacuum, forceps, and sequen...