Latest AI and machine learning research in pediatrics for healthcare professionals.
The decision of when to add a new hidden unit or layer is a fundamental challenge for constructive a...
Wheat is a major grain crop in China, accounting for one-fifth of the national grain production. Dro...
BACKGROUND: Early identification of high-risk groups of children with sepsis is beneficial to reduce...
OBJECTIVES: Artificial intelligence (AI) holds the promise to revolutionize the field of medicine an...
The forefront of micro- and nanorobot research involves the development of smart swimming micromachi...
Analyzing the basal ganglia following an early brain lesion is crucial due to their noteworthy role ...
BACKGROUND: Hemophilia A (HA) is an X-linked congenital bleeding disorder, which leads to deficiency...
BACKGROUND: SARS-CoV-2 mRNA vaccines are highly immunogenic in people living with HIV (PLWH) on effe...
Levothyroxine is one of the most prescribed drugs in the western world. Dosing is challenging due to...
Peptide medications have been more well-known in recent years due to their many benefits, including ...
The field of machine learning (ML) is advancing to a larger extent and finding its applications acro...
The fetal electrocardiogram (FECG) records changes in the graph of fetal cardiac action potential du...
OBJECTIVE: The search for other indicators to assess the weight status of individuals is important a...
To assess the feasibility of code-free deep learning (CFDL) platforms in the prediction of binary ou...
In the fetal cardiac ultrasound examination, standard cardiac cycle (SCC) recognition is the essenti...
There are significant challenges to identifying which individuals require intervention following exp...
PURPOSE: Early onset scoliosis (EOS) patient diversity makes outcome prediction challenging. Machine...
The Metrisor device has been developed using gas sensors for rapid, highly accurate and effective di...
Orodispersible films (ODFs) have emerged as innovative pharmaceutical dosage forms, offering patient...
Early tooth loss in pediatric patients can lead to various complications, making quick and accurate ...
This study aimed to evaluate the performance of deep learning algorithms for the classification and ...