Latest AI and machine learning research in pediatrics for healthcare professionals.
OBJECTIVE: Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for m...
OBJECTIVE: To use artificial intelligence (AI) to automatically extract video clips of the fetal hea...
OBJECTIVE: Several factors (e.g., interpersonal stress, affect) predict loss-of-control (LOC) eating...
OBJECTIVES: To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART)...
INTRODUCTION: Artificial intelligence (AI) is increasingly being applied across pediatric urology. W...
IMPORTANCE: Decreasing mortality in the field of pediatric critical care medicine has shifted practi...
Lack of standardization and various intrinsic parameters for magnetic resonance (MR) image acquisiti...
PURPOSE: This study aimed to develop a deep-learning framework to generate multi-organ masks from CT...
Artificial intelligence (AI) is significantly transforming surgery by enhancing precision, decision-...
The implementation of collective motion, traditionally, disregard the limited sensing capabilities o...
Choroid plexus (CP) is an important brain structure that produces cerebrospinal fluid (CSF). CP perf...
BACKGROUND: Primary intracranial germ cell tumors (iGCTs) are highly malignant brain tumors that pre...
The vaccinia virus (VV) is extensively utilized as a vaccine vector in the treatment of various infe...
BACKGROUND: The risk of malignancy in thyroid nodules is higher in children than in adults, often ne...
The larynx of children and adolescents is still in the developmental phase and the anatomical struct...
This narrative review examines the integration of Artificial Intelligence (AI) in prenatal care, par...
Around 5%-10% of newborns need assistance to start breathing. Currently, there is a lack of evidence...
BACKGROUND: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (...
PURPOSE: Sex classification is a major benchmark of previous work in learning on the structural conn...
This study developed a predictive model using deep learning (DL) and natural language processing (NL...
Orbital volume assessment is crucial for surgical planning. Traditional methods lack efficiency and ...