Latest AI and machine learning research in adhd/add for healthcare professionals.
Transesophageal echocardiography (TEE) imaging is a vital tool used in the evaluation of complex car...
The neurodevelopmental disorder, Attention Deficit Hyperactivity Disorder (ADHD), frequently affecti...
Bioimpedance spectroscopy is a tissue classification technique with many clinical applications. Simi...
Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving liv...
Shotgun phosphoproteomics enables high-throughput analysis of phosphopeptides in biological samples....
Spray drying is commonly used for producing amorphous solid dispersions to improve drug solubility. ...
Acute diarrheal disease (ADD) caused by rotavirus (RV) contributes significantly to morbidity and mo...
Type 1 diabetes mellitus (T1DM) is one of the most common chronic diseases in children and adolesce...
BACKGROUND: Since birth, during the exploration of the environment to interact with objects, we expl...
INTRODUCTION: Depression is a leading cause of disability worldwide, affecting up to 300 million peo...
Cactus pear fruit is known with many health benefits in ethnomedicine of countries like Mexico, Port...
INTRODUCTION: The externalizing disorders of attention deficit hyperactivity disorder (ADHD), opposi...
Advances in artificial intelligence (AI) in general and Natural Language Processing (NLP) in particu...
In the target article, Bowers et al. dispute deep artificial neural network (ANN) models as the curr...
UNLABELLED: In this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelop...
Recent years have witnessed increasing interest in adversarial attacks on images, while adversarial ...
Non-Small cell lung cancer (NSCLC) is one of the most dangerous cancers, with 85% of all new lung ca...
When developing models in cognitive science, researchers typically start with their own intuitions a...
OBJECTIVE: To explore the potential of using artificial intelligence (AI)-based eye tracking technol...
In the realm of advanced technology, deep learning capabilities are harnessed to analyze and predict...
Recent work has shown that machine learning (ML) models can skillfully forecast the dynamics of unkn...