The Thriving Influence of Artificial Intelligence in Neuroscience

The inability of electrical impulses to pass through the brain and nervous system causes neurological diseases, which in turn causes the peripheral or central nervous systems to be unable to function properly. It is well recognized that neurological illnesses are a substantial source of disability and the second most common cause of mortality worldwide, disproportionately impacting those in low-and middle-income groups. The number of neurological disorder-related fatalities and impairments is predicted to increase over time due to population growth and aging. Around the world, society is severely burdened by the cost of treating neurological and neurodegenerative conditions. The use of pharmacologic Pharmacologic medicines are a well-known strategy for treating neurological and neurodegenerative illnesses, which can be used in various ways to treat a wide range of patient symptoms. However, due to the drawbacks of pharmacotherapy and other forms of treatment, the primary research has gradually aimed into the complete avoidance of neurological and neurodegenerative illnesses and has made progress in several areas. Novel neuroprotective treatment targets have been found as pathophysiologic processes of neurological and neurodegenerative diseases have been further characterized. In the past several years, artificial intelligence has found use in diagnosing, prognosis, and treating neurological and neurodegenerative illnesses. Most notably, AI methods have shown to be extremely helpful in the identification and diagnosis of many neurological illnesses. Computer-aided diagnostic systems have improved physicians’ ability to evaluate and interpret physiological images and signals by applying AI and proficient signal processing techniques. This chapter summarizes the proliferating diagnostic, therapeutic, and preventive impact of artificial intelligence (AI) in neuroscience.