AI in Mental Health Care: A Review

Abstract

AI has revolutionized mental health care, providing creative methods to improve diagnosis, treatment, and patient results. This abstract explores AI's current applications, benefits, and challenges in mental health.
AI technologies, specifically machine learning and natural language processing, are of great significance and are being harnessed toward developing sophisticated diagnostic tools. These tools can analyze large volumes. Data is collected from a range of sources, such as electronic health records and social media platforms, in addition to patient interviews; in the direction finding outline and markers, the text suggests signs of mental health disorders such as depression, anxiety, and schizophrenia. AI-driven diagnostic systems promise to improve accuracy and speed, facilitating early intervention and personalized treatment plans.