Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Antibody response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) after mRNA or adenoviral vector-based vaccines is weak in kidney transplant (KT) patients. However, few studies have focused on humoral response after inactivated virus-based vaccines in KT. Here, we compare antibody response following vaccination with inactivated virus (CoronaVac®) and BNT162b2 mRNA...
Maternal use of magnesium sulfate has been associated with neonatal hypocalcemia and bone changes. We report the case of a preterm male infant who presented hypercalcemia before developing hypocalcemia after maternal magnesium sulfate therapy. Magnesium sulfate was used for premature rupture of membranes for 32 days, and the patient was delivered at 33 weeks gestation. The cord blood showed ionize...
OBJECTIVE: To assess preoperative hemoglobin and perioperative red blood cell transfusion in children undergoing cardiac surgery after the implementat...
: Hyperinsulinemia and insulin resistance are not synonymous; if the risk of developing insulin resistance in adolescents is monitored, they do not ne...
The application of artificial intelligence (AI) technology in the medical field has experienced a long history of development. In turn, some long-stan...
Accurately predicting wound healing trajectories is difficult for wound care clinicians due to the complex and dynamic processes involved in wound he...
Endometriosis is a common but poorly understood disease. Symptoms can begin early in adolescence, with menarche, and can be debilitating. Despite this...
The use of high-throughput phenotyping with imaging and machine learning to monitor seedling growth is a tough yet intriguing subject in plant researc...
In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis and to address limitations of the conventional ultr...
I introduce here what we have been and are doing in the Cross-ministerial Strategic Innovation Promotion Program (SIP) "Innovative AI Hospital System"...
The objective of the present study was to evaluate the alterations in selected indicators of immune responses and oxidative stress of broilers fed wit...
Perceiving minds in technology agents, for example, robots designed with artificial intelligence (AI), is common and crucial in modern life. However, ...
To compare open and robotic approach for treatment of Primary Obstructive Megaureter (POM) in a series of pediatric patients. Medical records of all...
 This article investigated the utility of urine biomarkers tissue inhibitor of metalloproteinase-2 (TIMP-2) and insulin-like growth factor binding pr...
BACKGROUND AND AIMS: The development of vaccines against COVID-19 has been a global purpose since the World Health Organization declared the pandemic....
BACKGROUND: Certain types of artificial intelligence (AI), that is, deep learning models, can outperform health care professionals in particular domai...
OBJECTIVE: The purpose of this study was to explore a new algorithm model capable of leverage deep learning to screen and diagnose specific types of l...
BACKGROUND: Gestational diabetes mellitus (GDM) is one of the critical causes of adverse perinatal outcomes. A reliable estimate of GDM in early pregn...
This study outlines and developed a multilayer perceptron (MLP) neural network model for adolescent hypertension classification focusing on the use of...
INTRODUCTION: Cutaneous defects involving the frontal region and anterior hairline of the scalp can result from congenital or acquired conditions. The...