Latest AI and machine learning research in pediatrics for healthcare professionals.
OBJECTIVE: Real-world data (RWD) are increasingly used for pharmacoepidemiology and regulatory innov...
OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-l...
Background Growth hormone (GH) treatment has become a common practice in Turner syndrome (TS). Howev...
AIM: To compare the cariogenic and erosive potential of seven commonly prescribed pediatric liquid m...
Septic shock, known as the most severe complication of sepsis, is a serious medical condition that c...
PURPOSE: The purpose of this study was to propose a method for segmentation and volume measurement o...
Histology, the branch of anatomy also known as microscopic anatomy, is the study of the structure an...
BACKGROUND: Robot-assisted gait training (RAGT) allows an intensive gait training in patients with c...
Congenital heart disease (CHD) is one of the most common birth defects, with complex genetic and env...
Socially assistive robots have the potential to improve aged care by providing assistance through so...
Pollen tubes face many obstacles on their way to the ovule. They have to decide whether to navigate ...
Ophthalmology has been at the forefront of many innovations in basic science and clinical research. ...
Investigators, scientists, and physicians continue to develop new methods of intraocular lens (IOL) ...
CONTEXT: Skin cancer is a complex and life-threatening disease caused primarily by genetic instabili...
Precision medicine is one of the recent and powerful developments in medical care, which has the pot...
Artificial intelligence (AI) encompasses a broad spectrum of emerging technologies that continue to ...
Robotic surgery has been slow to be fully accepted in the world of pediatric urology largely because...
UNLABELLED: In neonatal intensive care units (NICUs), 87.5% of alarms by the monitoring system are f...
This article discusses the emerging role of Artificial Intelligence (AI) in the learning and profess...
IMPORTANCE: Diagnosing the site of origin for cancer is a pillar of disease classification that has ...
OBJECTIVE: The use of machine learning technology to automate intellectual processes and boost clini...