Recent Advances of Artificial Intelligence Tools in Attention-Deficit Hyperactivity Disorder (ADHD)

Abstract

Attention deficit hyperactive disorder or ADHD is a common disorder among children, and if not identified early, it may affect the child’s later life. Pharmacotherapy in ADHD has been linked to the emergence of other emotional disorders. Children who get pharmacological treatment are more likely to continue taking these medications until adulthood, increasing their risk of acquiring other psychological problems. As a result, the majority of ADHD patients are eventually prescribed numerous medicines to manage emotional difficulties as well. Thus, AI tools are seen to be a boon for ADHD patients and clinicians. There have been emerging approaches in using artificial intelligence tools to diagnose and treat ADHD in recent years. Different algorithms and medical devices are used for greater accuracy and precision. The various neural networks detect complex signals in the human brain and analyze them. As it is a neurodevelopmental disorder, AI gives the best tools for proper diagnosis and treatment. Virtual and physical branches of AI are a great help to the patient. This review article focuses on the use of various AI models and tools that employ ADHD symptoms, MRI scans, and EEG signals, using electroencephalogram sensors to monitor brain activity, to help physicians better manage this prevalent neurodevelopmental disorder.