Latest AI and machine learning research in pediatrics for healthcare professionals.
PURPOSE: Congenital myopathies are a heterogeneous group of diseases affecting the skeletal muscles ...
In this decade, China has been pursuing an inclusive green growth strategy. Concurrently, the digita...
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of mortality g...
In any healthcare setting, it is important to monitor and control airflow and ventilation with a the...
Training machine learning (ML) models in medical imaging requires large amounts of labeled data. To...
Artificial intelligence in health care has experienced remarkable innovation and progress in the las...
In recent years, the well-being impact assessment approach has been applied in the area of Artificia...
BACKGROUND: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed t...
Transoral robotic surgery (TORS) in children is in its infancy, and indications have been primarily ...
The ten countries with the highest population during the pandemic were analyzed for clustering based...
Urethral diverticula are rare in children, especially in the absence of trauma. We present a case of...
A methodology is introduced for the development of an internal dosimetry prediction toolkit for nucl...
Infant motility assessment using intelligent wearables is a promising new approach for assessment of...
BACKGROUND: In the past two decades, technology has advanced to augment an already minimally-invasiv...
PURPOSE: Given the potential risk of motion artifacts, acquisition time reduction is desirable in pe...
The paper proposes a methodology based on Natural Language Processing (NLP) and Sentiment Analysis (...
Improving the growth status of Aspergillus oryzae is an efficient way to enhance L-malate production...
This is a retrospective analysis. Quantitative prediction of the children's and adolescents' spheric...