Application of artificial intelligence in mental health and mental illnesses

Abstract

Purpose of review: Artificial intelligence (AI), a hot area of research today, has been attempted to be applied in various fields of clinical medicine. This paper reviews the current status of research on AI in mental health and mental illness, including applications in the prevention, supplementary diagnosis, treatment and rehabilitation of mental illness. It also discusses the advantages, shortcomings and prospects of AI applications in the field of mental disorders, in order to provide references for research related to mental health applications based on AI technology. Research methods: The literature on the application of AI in mental illness interventions in recent years was searched through literature navigation. The aspects of mental illness prevention, diagnosis and treatment interventions were analyzed. Research conclusion: AI technology is developing rapidly and can complement the advantages of artificial diagnosis and treatment. However, AI still has a lot of room for development and has shortcomings at this stage that may bring some problems, such as algorithm bias, ethical aspects and difficulty in promotion at this stage. As mental health practitioners, we should actively adapt to and promote the further development of AI in the mental health field.