Latest AI and machine learning research in pediatrics for healthcare professionals.
Blood-based diagnostics tests, using individual or panels of biomarkers, may revolutionize disease d...
BACKGROUND: Cervical spine injuries (CSI) are a major concern in young pediatric trauma patients. Th...
The feasibility of integrating remote presence technology within a simulation scenario for psychiatr...
The identification of possible targets for a known bioactive compound is of the utmost importance fo...
There is growing appreciation that the success of digital health - whether digital tools, digital in...
BACKGROUND: Incorporation of cognitive screening into the busy primary care will require the develop...
Detection of abnormalities in wireless capsule endoscopy (WCE) images is a challenging task. Typical...
Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to ...
BACKGROUND AND OBJECTIVES: In recent decades, cancer has become one of the most fatal and destructiv...
OBJECTIVE: The primary objective is to develop an automated method for detecting patients that are r...
In the past decade, machine learning and artificial intelligence have made significant advancements ...
BACKGROUND: The combination of growth hormone (GH) and aromatase inhibitors (AI) improves linear gro...
BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagn...
It is evident through biology research that, biological neural network could be implemented through ...
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method...
OBJECTIVE: The rapid proliferation of machine learning research using electronic health records to c...
Health care organizations are leveraging machine-learning techniques, such as artificial neural netw...
Optimizing neurodevelopment is a key goal of neonatal occupational therapy. In preterm infants, repe...
BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is th...
This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an a...
Artificial intelligence (AI)-based methods have emerged as powerful tools to transform medical care....