Abstract

Role of Artificial Intelligence in Mental Health Diagnosis and Therapy


Abstract


An increasing global concern, mental health disorders are frequently neglected because of stigma, a lack of specialists, and a lack of ongoing care. The delivery of mental health treatment is being revolutionised by recent developments in Artificial Intelligence (AI), namely in the areas of machine learning, natural language processing, and big language models. The present use of AI in mental health diagnosis, monitoring, and treatment is examined in this paper. AI-powered solutions, such as chatbots and smartphone apps, show promise in real-time emotional analysis, tailored therapy intervention, and early mental illness identification. The study also looks at important issues such algorithmic bias, data privacy, ethical concerns, and regulatory loopholes. Through a review of current research, we show how AI-based solutions can support human therapists and remove access barriers, but we also stress the importance of responsible design and implementation.




Keywords


Artificial Intelligence, Mental Health, Machine Learning, Diagnosis, Therapy, Chatbots, Ethics