Latest AI and machine learning research in pediatrics for healthcare professionals.
OBJECTIVE: Risk assessment tools typically used in congenital heart surgery (CHS) assume that variou...
The heart murmur associated with atrial septal defects is often faint and can thus only be detected ...
This study presents the kinetics of production of a glycolipopeptide biosurfactant in a medium previ...
In sub-Saharan Africa, there is a significant unmet need for emergency care, with a shortage of trai...
OBJECTIVE: To create a personalised machine learning model for prediction of severe adverse neonatal...
BACKGROUND: Streptococcus pyogenes is a leading cause of infection-related morbidity and mortality. ...
COVID-19, a viral infection originated from Wuhan, China has spread across the world and it has curr...
Emerging manifestations of artificial intelligence (AI) have featured prominently in virtually all i...
Artificial intelligence (AI) uses computers to mimic cognitive functions of the human brain, allowin...
Drug designing and development is an important area of research for pharmaceutical companies and che...
Respiratory diseases, including asthma, bronchitis, pneumonia, and upper respiratory tract infection...
The purposes are to monitor the nitrogen utilization efficiency of crops and intelligently evaluate ...
INTRODUCTION: Sudden unexpected death in infancy (SUDI) represents the commonest presentation of pos...
INTRODUCTION: Pediatric surgery began with single-incision flank surgery and has evolved to multi-po...
No data exist concerning the appication of a new robotic system with 3 mm instruments (Senhance®, Tr...
To identify newborns at risk of developing ASD and to detect ASD biomarkers early after birth, we co...
This paper scrutinises how AI and robotic technologies are transforming the relationships between pe...
Controlled-rearing studies provide the unique opportunity to examine which psychological mechanisms ...
PURPOSE: Comparing the efficacy of a deep-learning model in classifying the etiology of pneumonia on...
OBJECTIVE: The authors sought to evaluate the accuracy of a novel telehealth-compatible diagnostic s...
PURPOSE: We describe a detailed evaluation of predictors associated with individual lead placement e...