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Here are my predictions on where the industry is headed, the forces driving these changes and how business leaders can navigate this evolving landscape. More Proactive Mental Health Care. Increasing openness to new ways of thinking about mental health among both practitioners and patients is leading to a more integrative model of mental health care that draws evidence from. Artificial Intelligence (AI) is reshaping mental healthcare by enabling new forms of diagnosis, therapy, and patient monitoring. Yet this digital transformation raises complex policy and ethical questions that remain insufficiently addressed. In this paper, we critically examine how AI-driven innovations are being integrated into mental health systems across different global contexts, with. We now have the technology and knowledge to fundamentally change mental health care . And in order to realize this new vision, we need to focus on two key aspects: on processes of change and. By predicting the probable course of mental health disorders, healthcare systems can enhance their readiness to address the requirements of mental health services and effectively allocate resources accordingly. Mental disorders represent a major global health challenge, with an estimated lifetime prevalence approaching 30%. Despite the availability of effective treatments, access to mental health care remains inadequate. Computational psychiatry, leveraging advancements in artificial intelligence (AI) and machine learning (ML), has shown potential for transforming mental health care by improving. The articles in this issue can be organized into 3 themes: (1) perspectives and predictions for the future ; (2) challenges of mental health care delivery; and (3) innovative technologies for care delivery and pedagogy. The future of behavioral health care lies at the intersection of big data, AI, and predictive analytics . By harnessing these tools, clinicians can access actionable insights that help them identify subtle or significant symptom changes in their patients, allowing for timely treatment adjustments, optimized care pathways, and improved outcomes. As technology advanced, the role of AI in mental health care rapidly expanded to encompass early detection of mental health issues, the creation of personalized treatment plans, and the introduction of virtual therapists and teletherapy enhancements (4, 15). Artificial intelligence in behavioral and mental health care . Summarizes recent advances in artificial intelligence as it applies to mental health clinical practice .