Latest AI and machine learning research in pediatrics for healthcare professionals.
Neonatal Endotracheal Intubation (ETI) is a critical resuscitation skill that requires tremendous pr...
Social media has become a popular source for online news consumption with millions of users worldwid...
To study radiotherapy-related adverse effects, detailed dose information (3D distribution) is needed...
Artificial intelligence (AI) is a field of data science pertaining to advanced computing machines ca...
A rapidly increasing growth of social networks and the propensity of users to communicate their phys...
Understanding the governing principles behind organisms' metabolism and growth underpins their effec...
Social Robots are used in different contexts and, in healthcare, they are better known as Socially A...
This pilot study explores the possibility of predicting post-concussion symptom recovery at one week...
Fusarium culmorum and F. proliferatum can grow and produce, respectively, zearalenone (ZEA) and fumo...
OBJECTIVE: This study aimed to evaluate the success rates of the artificial neural network models (N...
Wearable devices hold an enormous potential in contributing to an improved global health. The availa...
OBJECTIVE: Imaging evaluation of the cerebral ventricles is important for clinical decision-making i...
BACKGROUND: For the growing patient population with congenital heart disease (CHD), improving clinic...
The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This pr...
The presence of confounding effects (or biases) is one of the most critical challenges in using deep...
BACKGROUND: Genitourinary rhabdomyosarcoma (GU-RMS) is a rare, pediatric malignancy originating from...
BACKGROUND: Reliable localization and tracking of the eye region in the pediatric hospital environme...
BACKGROUND: Pediatric myocarditis is a rare disease with substantial mortality. Little is known rega...
Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image nois...
BACKGROUND: Objectives were to build a machine learning algorithm to identify bloodstream infection ...
OBJECTIVE: To investigate the applicability of supervised machine learning (SML) to classify health-...