Collaborative Mental Health: Integrating Traditional Chinese Mind–Body Perspectives and AI for a Culturally Responsive Health Model

Introduction – Objectives Global mental health increasingly requires approaches that address psychological well-being within biological, social, cultural, and technological contexts. Contemporary mental-health systems often prioritize individual symptoms and clinical interventions, while culturally embedded understandings of health, family relationships, social belonging, and meaning may receive less attention. Drawing on Traditional Chinese mind–body perspectives, this study proposes a collaborative mental-health framework that integrates culturally grounded health concepts, community and family participation, and emerging artificial intelligence (AI) technologies within existing public-health and healthcare systems. The objective is to develop a human-centred model that supports psychological well-being, social functioning, and health equity while maintaining scientific and clinical standards. Methodology The proposed framework was developed through conceptual synthesis of Traditional Chinese mind–body theory, family and relational perspectives on well-being, community mental-health promotion, and emerging approaches to AI-enabled healthcare. Rather than treating traditional concepts as substitutes for clinical diagnosis or evidence-based treatment, the framework considers their potential contribution to culturally responsive health communication, prevention, health education, and community engagement. It identifies complementary roles for healthcare professionals, public-health agencies, families, community organizations, researchers, and technology developers in supporting psychological well-being across different stages of life. Results and Discussion The framework identifies three interconnected dimensions of collaborative mental-health promotion: mind–body integration, relational support, and technological augmentation. Traditional concepts concerning the relationship among xin (心), yi (意), and shi (識) provide a culturally meaningful vocabulary for discussing attention, emotional experience, self-understanding, and well-being, while family and community relationships provide social contexts for psychological support and restoration of social functioning. AI technologies may complement these approaches through health education, personalized information, early identification of psychosocial needs, and coordination of community resources, provided that appropriate safeguards for privacy, autonomy, equity, and human oversight are maintained. The framework therefore positions AI not as a replacement for clinicians or communities, but as a tool supporting collaborative and human-centred care. Conclusions A sustainable global mental-health architecture should accommodate diverse cultural understandings of well-being while remaining grounded in scientific evidence, clinical responsibility, and human rights. Integrating Traditional Chinese mind–body perspectives, family and community participation, and responsibly governed AI offers a potential model for more culturally responsive and participatory mental-health promotion. By connecting healthcare, families, communities, public authorities, and technology developers, the framework seeks to strengthen psychological resilience, preserve social participation across the life course, and contribute to more equitable and humane health systems.