I. Introduction
What Role Could Artificial Intelligence Play in Mental Health Care? Artificial intelligence in mental health care could increase access and lower costs, but the sector faces significant obstacles before realizing these benefits. For years, the industry has viewed chatbots and virtual assistants as a feasible method to dip a toe into the AI seas. Mental disorders have become a habitual companion of nearly everyone’s life. Mental illness is turning out to be a pandemic in the 21st century. With the current effect of COVID-19, there has been a rapid increase in patients with mental illness. More than 50 % of the existing population are diagnosed with one or other mental disorders at some given point in their lives. Despite the continuous progress, people with mental illness often continue to suffer and experience severe human right violation, discrimination, and stigma. Increased investment is required, on all fronts: for an increase in mental health understanding and reduced stigma; for efforts to quality mental health care and treatment; and for research to identify newtechnologies and improve existing treatments procedures for all sorts of mental health disorder. Mental health is diagnosed according to the “Diagnostic and Statistical Manual of Mental Disorders” (DSM), which is efficient according to the clinical evaluation. The patients have then prescribed an anti-depressant.But unfortunately, this approach has proved to be successful in 50% of the cases. This clinical hurdleof less-effective treatmentassociated with a lack of knowledge and understanding is a concern. Technologies like Artificial intelligence, data mining, machine learning have done huge miracles in physical diagnosis. However, there seems to be an absence of the usage of these technologies in psychiatric care. This paper reviews the work of these technologies on the medical diagnosis of mental health disorders and draws attention to the impeccable results given by these systems.