Latest AI and machine learning research in pediatrics for healthcare professionals.
MOTIVATION: Despite the extensive manufacturing of antiviral drugs and vaccination, viral infections...
From a clinical viewpoint, there are enormous obstacles to early detection and diagnosis as well as ...
The food security of China as a big agricultural country is attracting increasing attention. With th...
BACKGROUND: In the context of immune-mediated inflammatory diseases (IMIDs), COVID-19 outcomes are i...
Purpose To evaluate the robustness of an award-winning bone age deep learning (DL) model to extensiv...
The present study aims to describe ethical and social requirements for technical and robotic systems...
OBJECTIVES: To estimate adolescents and children age using stepwise regression and machine learning ...
OBJECTIVES: To investigate the application value of combining the Demirjian's method with machine le...
OBJECTIVES: The study aims to assess racial and language disparities in pediatric emergency departme...
The effective assessment of wounds, both acute and hard-to-heal, is an important component in the de...
Background Commonly used pediatric lower extremity growth standards are based on small, dated data s...
Artificial intelligence (AI) represents a recent major breakthrough in technology development and, i...
IMPORTANCE: Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, ...
IMPORTANCE: Acute otitis media (AOM) is a frequently diagnosed illness in children, yet the accuracy...
OBJECTIVE: A deep learning-based method for evaluating the quality of pediatric pelvic X-ray images ...
A deep learning-based model for automatic diagnosis and classification of adolescent idiopathic scol...
Following the milestone success of the Human Genome Project, the 'Encyclopedia of DNA Elements (ENCO...
BACKGROUND: Adolescents with hemiplegic cerebral palsy undergo conventional physical therapy (CPT) t...