Movement disorders are the term used for a group of neurological and neurodegenerative disorders that cause a significant alteration in movements. Movement disorders can be generally classified as hypokinetic or hyperkinetic movement disorders.  The most common movement disorders include Parkinson's disease, Huntington's disease, Tourette syndrome, ataxia, and essential tremor. Artificial intelligence (AI) is the perceiving, processing, and inferring of information by a computerized machine to enhance the quality of human and animal life.  At present, AI is drastically rising in many fields, including healthcare for humans and animals.  AI can be used to help with early diagnosis, decreasing mortality and morbidity, and improving efficacy by individualizing drug dosing, aiding in the discovery, and/or the development of novel therapeutic or preventive agents and approaches.  AI helps to slow the progression of diseases and decrease the errors associated with differential diagnosis and iatrogenesis.  However, still, the widespread use of AI in the healthcare field is scarce globally.  It would be a major benefit for healthcare professionals to begin to adopt the use of AI for enriched healthcare.  AI has the potential to provide the best prognosis for patients by minimizing the costs of therapy, adverse reactions, and hypersensitivity reactions for better therapeutic outcomes.  AI can effectively improve the lives of patients with movement disorders drastically.  AI could provide the much-needed discovery of treatments, drugs, and techniques for patients with movement disorders. There is certainly a growing need for the use of AI to advance modern-day treatment strategies.  In this study, we will investigate the role of artificial intelligence in movement disorders. 

Keywords: Artificial intelligence, Movement disorders, Therapeutic Outcome