Enhancing Behavioral and Mental Health Services with AI Improving Access and Quality of Care

Umamaheswara Reddy Kudumula

Abstract: The rising prevalence of mental health issues, marked by a 28% increase in depression symptoms worldwide following COVID - 19, underscores the urgent need for innovation in behavioral and mental health services. In the United States alone, mental health expenditures have exceeded $300 billion, highlighting the economic strain on the healthcare system. This paper examines the transformative potential of artificial intelligence (AI) in improving the accessibility and quality of mental health care. It outlines how AI can meet the growing demand for mental health services, enhance patient outcomes, and lower costs. By integrating AI technologies, we can create a more efficient, effective, and patient - centered approach to mental health care, ultimately reducing the financial burden on healthcare systems.

Keywords: Machine Learning (ML), Healthcare Technology, Predictive Analytics, Mental health, Artificial Intelligence (AI), COVID - 19 pandemic, healthcare access, quality of care