Latest AI and machine learning research in pediatrics for healthcare professionals.
PURPOSE: With increasing use of human epithelial growth factor receptor two (HER2)-targeted therapie...
As the aging population in the United States grows, the need for an integrated approach to support o...
BACKGROUND AND OBJECTIVE: Auscultation-based cardiac abnormality detection is valuable screening app...
This study focuses on the binary classification of pediatric epilepsy seizure types as focal or gene...
Persistent geographic and specialty-based disparities in health care workforce distribution have cre...
Generative artificial intelligence (AI), including large language models (LLMs), is rapidly transfor...
Salinity stress poses significant challenges to agriculture, reducing productivity and limiting arab...
The role of artificial intelligence (AI) in cancer drug discovery and development has garnered signi...
Preterm birth and very low birthweight (VP/VLBW) are associated with poorer health-related quality o...
OBJECTIVE: To create and validate a machine learning (ML)-based model for predicting the adverse per...
The epiphyses of the hand and wrist serve as crucial indicators for assessing skeletal maturity in a...
BACKGROUND: Determining whether pediatric patients with low-grade gliomas (pLGGs) have tumor-related...
UNLABELLED: Synthetic MRI (SyMRI) is a technique used to estimate tissue properties and generate mul...
Autism spectrum disorder (ASD) is characterized by deficits in social communication and repetitive b...
Artificial intelligence and machine learning are rapidly transforming medicine, healthcare, and surg...
Monitoring the root system plays an important role in understanding plant physiological processes; h...
Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adver...
OBJECTIVE: Predicting normative pediatric growth is crucial to identify developmental anomalies. Whi...
The examination of sleep patterns in newborns, particularly premature infants, is crucial for unders...
Linking genotype and phenotype is a fundamental challenge in biology. In this respect, machine learn...
Artificial intelligence (AI) holds significant potential to enhance various aspects of oncology, spa...