Pioneering Advances in AI-Driven Detection and Therapy for Mental Health Challenges

Abstract

Mental health disorders create widespread health problems for hundreds of millions of people every year across our world. Traditional clinical processes work well but specific issues make them difficult to access and hard to scale up. Our study shows how AI technologies can improve mental health diagnosis and treatment by overcoming present system limitations. Through AI technology that combines machine learning and natural language processing with neural networks the system can spot health problems sooner, design unique care plans, and provide immediate therapeutic help. The research investigates both ethical issues and technical challenges when integrating AI technologies into mental health care while showing the need for AI implementation that serves everyone fairly. Through this research we forecast artificial intelligence will enhance mental health treatment delivery and make it both more effective and easier to reach while tailoring services to individual patients.