Latest AI and machine learning research in adhd/add for healthcare professionals.
BACKGROUND AND AIMS: Amphetamine-type stimulants are the second-most used illicit drugs globally, ye...
Machine learning (ML) is increasingly used to identify patterns that could predict neurodevelopmenta...
The field of 3D medical image segmentation is witnessing a growing trend in the utilization of combi...
Modeling functional brain networks (FBNs) for attention deficit hyperactivity disorder (ADHD) has sp...
Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and preci...
Sharpness-aware minimization (SAM) aims to enhance model generalization by minimizing the sharpness ...
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental condition marked by inattent...
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disord...
This study investigates the evaluation of risks faced by employees in a selected large-scale apparel...
Canadian Institute for Health Information (CIHI) is looking to modernize and adopt new ways of worki...
This review article provides a comprehensive examination of the state-of-the-art in maize disease de...
An article with three goals, namely, to (1) provide the set of ideas and information needed to under...
BACKGROUND AND PURPOSE: Functional recovery after stroke is often limited, despite various treatment...
Advancements in machine learning offer promising avenues for the identification of ADHD symptoms in ...
This study investigates the impact of air pollution on health outcomes in Middle Eastern countries, ...
In the realm of health care, numerous generative and nongenerative artificial intelligence and machi...
Neural networks enable the processing of large, complex data sets with applications in disease diagn...
BACKGROUND: Detecting Attention-Deficit/Hyperactivity Disorder (ADHD) in children is crucial for tim...
BACKGROUND AND OBJECTIVE: Biomedical relation extraction aims to reveal the relation between entitie...
BACKGROUND: Chronic subdural hematoma (CSDH) represents a prevalent medical condition, posing substa...
Since the spiking neural P system (SN P system) was proposed in 2006, it has become a research hotsp...