Oct 13, 2025

13 October 2025 Disclaimer - this article is provided by Excellence First Enterprise Consultancy (EFEC) , reflecting our role as a trusted bridge between the UK and China in talent, innovation, and life sciences - connecting people and ideas to advance collaboration across borders. At the recent Medical Artificial Intelligence Conference (MAIC) in Beijing, a milestone was announced that deserves global attention: the launch of the world’s first AI doctor dedicated to geriatrics. Developed by Beijing Geriatric Hospital in partnership with Shukun Technology, this system — nicknamed AI Dr. Xiaoxiang — achieved a striking 95% diagnostic concordance with senior clinical teams in complex multi-disciplinary cases. This achievement is not only a step forward for China’s healthcare system, but also a sign of what is possible when technology is embedded into healthcare at a systems level. For the UK, where ageing populations and medical workforce pressures are among the most urgent challenges, the development opens space for reflection, collaboration, and exchange. The Challenge of Ageing Populations Geriatrics is widely recognised as one of the most complex areas of medicine. Elderly patients often present with multiple conditions, atypical symptoms, rapid disease progression, and the risks of polypharmacy. Managing this complexity has traditionally required resource-intensive multi-disciplinary collaboration, at a time when both the UK and China face shortages of specialist doctors. By embedding expert clinical reasoning into AI models, the Beijing project has shown how digital systems can help extend scarce expertise without diluting quality. For societies everywhere navigating demographic change, this represents a powerful proof of concept. The AI-Enabled Hospital: A Systems-Level Advance What makes the Chinese breakthrough particularly notable is not only the creation of an AI geriatric doctor, but its integration into a broader AI-enabled hospital system. Beijing Geriatric Hospital is deploying AI across the full patient journey: Pre-admission: AI triage and consultation tools help patients prepare before hospital visits. In-hospital: AI-driven imaging analysis and automated medical records improve accuracy and reduce administrative burdens. Post-discharge: Remote monitoring and coordination platforms link hospitals with community care and home-based services across multiple districts. This approach moves AI beyond isolated pilots (such as single-department radiology projects) into a coordinating infrastructure across an entire hospital ecosystem. It demonstrates how AI can become a connective layer supporting continuity of care. For the UK, this offers valuable insight. The NHS has world-class expertise in medical research and governance, yet integration across regions and services remains a challenge. The Chinese experience shows how a hospital can serve as a testbed for whole-system AI deployment, raising the possibility of similar pilots in UK integrated care systems. Relevance Across the UK This systems approach has echoes of challenges faced across the UK — from Cambridge and London, to the Midlands, the North East, and rural Wales. Everywhere, healthcare providers are seeking to bridge hospital, primary care, and community services more effectively. The Beijing project demonstrates how AI, applied holistically, can support not just individual tasks but continuity of care across the system. Opportunities for UK–China Collaboration This development is best viewed as a shared opportunity for innovation and exchange. For the UK, three themes stand out: Specialisation – China’s geriatric AI initiative shows the value of focusing AI on areas of system-level pressure, complementing UK work in oncology, imaging, and workflow automation. Integration – Both countries share concerns about fragmented pathways; AI can help connect services across hospital and community settings. Partnership – The UK’s strengths in ethics, governance, and translational research align well with China’s strengths in large-scale deployment. Together, these form complementary ground for international collaboration. A Shared Horizon The launch of AI Dr. Xiaoxiang is not the end of a journey but the beginning of a new phase in healthcare innovation. Shukun Technology has set its ambition clearly: to provide a digital doctor for every patient, and a digital assistant for every clinician. For the UK, the question is not whether AI will transform geriatric medicine, but how to ensure this transformation benefits patients, supports clinicians, and reflects societal and cultural values. As ageing reshapes healthcare globally, there is a need — and an opportunity — for the UK and China to work together. The conversation is not about who leads and who follows, but about how shared innovation can improve lives across both societies. Image: The world’s first AI doctor for geriatrics highlights how AI-enabled hospital systems could shape the future of healthcare 13 October 2025