Latest AI and machine learning research in adhd/add for healthcare professionals.
Neurologic disorders such as stroke and cerebral palsy are leading causes of long-term disability an...
School grades are still used by universities and employers for selection purposes. Thus, identifying...
Attention deficit hyperactivity disorder (ADHD) is a common disorder that emerges in school-age chil...
Previous brain morphology-related diagnostic models for attention-deficit hyperactivity disorder (AD...
Attention Deficit Hyperactive Disorder (ADHD) is one of the most common diseases in school aged chil...
In this study we apply two methods for data collection that are relatively new in the field of atmos...
While action recognition has become an important line of research in computer vision, the recognitio...
Spatial resolution is a critical imaging parameter in magnetic resonance imaging. The image super-re...
BACKGROUND: Diagnostic guidelines recommend using a variety of methods to assess and diagnose ADHD. ...
BACKGROUND: In the last few years, there has been an increasing interest in the use of robotic devic...
Deep learning models are highly parameterized, resulting in difficulty in inference and transfer lea...
Unlike daily routine images, ultrasound images are usually monochrome and low-resolution. In ultraso...
In recent years, advanced neurocomputing and machine learning techniques have been used for Electroe...
Medication selection for Type 2 Diabetes (T2D) is a challenging medical decision-making problem invo...
Systematic reviews are an increasingly popular decision-making tool that provides an unbiased summar...
This article provides data for five different neuropsychiatric disorders-Attention Deficit Hyperacti...
The present study was designed to study the influence of different concentrations of oviduct fluid (...
Zeolites are often used as adsorbents materials and their loaded cations can be exchanged with metal...
Deep convolutional neural networks have been successfully applied to many image-processing problems ...
OBJECTIVES: To study the content variation of selegiline and its metabolites in urine, and based on ...
Both veterinarians caring for dolphins in managed populations and researchers monitoring wild popula...