Translating AI Innovation into Clinical Impact in Stroke Care

Artificial intelligence (AI), digital health technologies, and digital twins offer significant opportunities to improve stroke prevention, diagnosis, treatment, rehabilitation, and long-term patient outcomes. However, translating technological innovations into meaningful clinical impact requires more than technical development. It depends on access to high-quality clinical data, multidisciplinary collaboration, clinical validation, and effective integration into healthcare delivery systems.

Building on the UK–Indonesia–Vietnam partnership, the London Digital Twin Research Centre (LDTRC) at Middlesex University London, together with the University of Oxford, University College London (UCL), Bach Mai Stroke Centre in Vietnam, and Universitas Gadjah Mada (UGM) in Indonesia, has been advancing collaborative research and education in AI-enabled stroke care. These efforts are supported by the British Council International Science Partnerships Fund (ISPF) Research Collaboration Programme and the Going Global Partnerships (GGP) Transnational Education (TNE) Exploratory Grant. The latter supports the collaborative initiative Building Intelligent Health Systems for Stroke Care through Transnational Education Partnerships, bringing together academic and clinical expertise across the three countries.

An important milestone was the international workshop, Advancing Stroke Care and Non-Communicable Disease Prevention Through Responsible AI and Digital Innovation, held at the University of Oxford on 24 June 2026 (https://dt.mdx.ac.uk/?p=3221). The event marked the official launch of the UK–Indonesia–Vietnam TNE partnership and brought together researchers, clinicians, policymakers, and educators to explore responsible AI, digital innovation, and opportunities for international collaboration.

As a continuation of this initiative, the workshop Translating AI Innovation into Clinical Impact in Stroke Care, hosted by Middlesex University London on 16 November 2026, will focus on translating emerging AI and digital health research into clinically relevant applications. Discussions will cover clinical data processing, AI-enabled stroke applications, digital twin proof-of-concept development, Healthcare Living Labs, and the practical opportunities and challenges of implementing AI in clinical settings. The programme will be complemented by a proposed stroke research and clinical site visit to University College London (UCL) and University College London Hospitals (UCLH) on 17 November 2026. Together, these activities aim to strengthen connections between technological innovation, clinical practice, and health systems, while identifying concrete opportunities for collaborative research, clinical validation, capacity building, and future implementation across the United Kingdom, Indonesia, and Viet Nam.

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