As we discussed in previous chapters about the general scope of integrating AI in mental health, we move further on specific domains on how AI can be of specific use in mental health services. This chapter focuses on the transformative impact of AI for screening mental ill health conditions, diagnosis as well as prognosis. We explore how large datasets are analysed using machine learning techniques, natural language processing, and predictive analytics to reveal trends and risk factors related to mental health issues. It emphasizes the potential of AI technologies to increase the speed and accuracy of mental health assessments through an extensive analysis of recent research and discusses future prospects, obstacles, and ethical issues related to the smooth integration of AI into clinical practice.