Mental Health World Conference 2026

Abstract

Artificial intelligence (AI) has rapidly transformed many areas of healthcare, yet mental health remains comparatively underrepresented in digital investment, research translation, and regulatory innovation. This underrepresentation is notable given rising clinical demand, escalating administrative burden, and the centrality of risk assessment and management within psychiatric practice. This presentation introduces a novel AI enabled documentation tool designed to support clinicians in generating structured notes, including evidence informed risk assessment and risk management formulations. The system aims to reduce administrative load, improve consistency, and strengthen communication across multidisciplinary teams without replacing clinical judgement. Early formative evaluations indicate perceived reductions in cognitive load and improved clarity of documentation.
The presentation situates this technology within current debates on digital wellbeing and mental health, examining implications for safety, explainability, governance, and responsible implementation. It argues that sectoral underrepresentation is neither inevitable nor beneficial digital tools co designed with clinicians and service users may enhance prevention, treatment, and care by enabling practitioners to redirect effort toward therapeutic engagement rather than paperwork. The talk concludes with calls for action to strengthen research investment, evidence standards, and participatory development in mental health AI to close digital divides and promote equitable, scalable innovation within health systems.