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JOINT EFFORT 103community-wide screening impossible. It%u2019s time to rethink this costly and time-consuming approach to diagnosing and treating this major obstacle to active ageing.To enable early screening and intervention of knee osteoarthritis, Dr Chunyi WEN, Associate Professor, Department of Biomedical Engineering, led a research team to harness the power of AI and augmented reality (AR) for patient care in community service settings and public hospitals. This innovative multi-faceted prognosis prediction system can achieve an accuracy rate of up to 90% and is expected to save up to HK$1.4 billion of medical expenses a year in Hong Kong.AI-powered video-based motion analysis for early screening of knee osteoarthritisUsing a deep learning algorithm, Dr Wen%u2019s team devised a marker-free motion analysis platform that detects the early symptoms of knee osteoarthritis from videos shot with smartphones. %u201cWe ask subjects to shoot video footage of themselves standing up from a seated position, as well as walking at a normal pace. Preferably, they shoot the videos from two angles, one from the side and one from the front, in five repeated cycles,%u201d explains Dr Wen. The algorithm then automatically locates the joints, and measures the angles, angular velocities, and accelerations Dr Wen, a former registered medical doctor in Mainland China, has redirected his passion towards musculoskeletal ageing and regeneration research, driven by a vision to transform elderly patient care. Collaborating with a multidisciplinary team of local experts, including orthopaedic surgeons, therapists, nurses, and biomedical engineers, he is dedicated to revolutionising the clinical landscape by leveraging artificial intelligence. Dr Wen is a member of the Board of Directors of the Osteoarthritis Research Society International (OARSI) and an Associate Editor of Osteoarthritis and Cartilage, the official journal of OARSI.Dr Chunyi WENAssociate Professor, Department of Biomedical Engineering Honourabale ConsultantCLAIRE Clinical AI Research Limited