Latest AI and machine learning research in pediatrics for healthcare professionals.
Pediatric head trauma is a significant cause of morbidity and mortality, with children, particularly...
Adolescents' physical activity (PA) and sports participation declined due to the COVID-19 pandemic. ...
We present a new modeling approach for the study and prediction of important process outcomes of bio...
BACKGROUND: The application of artificial intelligence (AI) to health and health care is rapidly inc...
Breathing conditions affect a wide range of people, including those with respiratory issues like ast...
INTRODUCTION: Literature suggests that patients from deprived backgrounds are less likely to adhere ...
Given the extensive heterogeneity and variability, understanding cellular functions and regulatory m...
BACKGROUND: Newborns are shaped by prenatal maternal experiences. These include a pregnant person's ...
Machine learning (ML) models often fail with data that deviates from their training distribution. Th...
The feed efficiency (FE) expresses as the amount of feed required per unit of BW gain. Since feed co...
PURPOSE: Hip dysplasia is the second most common orthopedic condition in children with cerebral pals...
BACKGROUND: Variations in symptoms and indistinguishable depression episodes of unipolar depression ...
BACKGROUND: Predicting mortality and relapse in children with acute lymphoblastic leukemia (ALL) is ...
BACKGROUND: Care robots have been proposed in response to nursing shortages in assisted living facil...
There is no shortage of literature surrounding ChatGPT and whether this large language model can pro...
The predictive value of the susceptibility to oxidation of LDL particles (LDLox) in cardiometabolic ...
Echocardiography is one the most commonly used imaging modalities for the diagnosis of congenital he...
PURPOSE: Despite its promise to enhance patient outcomes and support clinical decision making, clini...
BACKGROUND: Robotic technologies present challenges to health care professionals and are therefore r...
This retrospective study used 10 machine learning algorithms to predict the risk of healthcare-assoc...
BACKGROUND: Deep learning is the state-of-the-art approach for automated segmentation of the left ve...