Latest AI and machine learning research in adhd/add for healthcare professionals.
Detection and tracking of animals is an important first step for automated behavioral studies using videos. Animal tracking is currently done mostly using deep learning frameworks based on keypoints, which show remarkable results in lab settings with fixed cameras, backgrounds, and lighting. However, multi-animal tracking in the wild presents several challenges such as high variability in backgrou...
Attention Deficit Hyperactivity Disorder (ADHD) is the most common childhood neurodevelopment disorder that is characterized by symptoms of inattention, distractibility, impulsivity, and hyperactivity. To support children with ADHD to overcome developmental challenges, innovative technologies such as Educational Robotics and Augmented Reality have been introduced. The use of these technologies can...
Attention deficit hyperactivity disorder (ADHD) is a neurological disorder that primarily develops in early childhood and affects motor development, v...
PTEN hamartoma tumor syndrome (PHTS), caused by germline PTEN mutations, exhibits pleiotropic manifestations, including hamartomas, cancers, and neuro...
Very few anaesthesiology-related machine learning models have successfully made the transition from retrospective validation to prospective implementa...
Kawasaki disease (KD) remains the leading cause of acquired heart disease in children. While intravenous immunoglobulin (IVIG) represents standard the...
BACKGROUND: The American Society of Anesthesiologists Physical Status (ASA-PS) classification is integral to preoperative risk assessment; yet, assign...
BACKGROUND: Identifying whether brain alterations in obsessive-compulsive disorder (OCD) represent the illness itself or an underlying genetic vulnera...
Systemic lupus erythematosus (SLE) is a chronic, systemic autoimmune disease characterized by immune dysregulation, autoantibody production, and chron...
Attention-deficit/hyperactivity disorder (ADHD) is a childhood-onset neurodevelopmental disorder that often persists into adulthood, leading to extens...
Neutrophil-mediated persistent inflammation and neutrophil extracellular trap formation (NETosis) are critical in the pathogenesis of deep vein thromb...
BACKGROUND AND OBJECTIVES: Differentiation of Alzheimer's disease dementia (ADD) and dementia with Lewy bodies (DLB) remains a challenge. Free-water i...
BACKGROUND: Neurodevelopmental disorders, especially attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), have seen a m...
PURPOSE OF REVIEW: Tuberculous meningitis (TBM) is a severe manifestation of Mycobacterium tuberculosis infection, associated with high mortality and ...
OBJECTIVE: Accurate self-assessment of driving performance is critical for maintaining safety and mobility among older adults. However, many older dri...
Artificial intelligence (AI) applications for spontaneous intracerebral hemorrhage (ICH) are rapidly expanding, particularly in perioperative imaging ...
BACKGROUND: Early and accurate diagnosis of neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD) and attention-deficit/hypera...
BACKGROUND: As the global population continues to age, the prevalence of geriatric conditions, including dementia and frailty, is also increasing. Ear...
OBJECTIVE: Artificial intelligence applications (AIA) in fetal ultrasound are rapidly evolving, yet their integration into routine clinical practice r...
Various factors-motivation, interest, fatigue, and external stimuli-influence creative mental processes and attention control (AC). Creative thinking ...