An AI-based Progression Risk Assessment System for Knee Osteoarthritis
An Automated KOA risk progression predictor
Acts as a pioneer in introducing for chronic disease management in Hong Kong
Easily accessible clinical features for accurate prediction
Leverages both clinical and imaging data for a multimodal analysis
Aids healthcare practitioners to construct personalised protocol
Our Team
Toby Li
Project Coordinator
Strong biomedical background with medical device regulation knowledge
Valuable connections with many multidisciplinary clinical practitioners
Year 4 student in Biomedical Engineering with Prosthetics and Orthotics, The Hong Kong Polytechnic University
Justin Chan
Data Scientist
Strong background in data science and machine learning
Actively engaging in multi-disciplinary scientific researches
BSc(Hons) in Biochemistry and Cell Biology, Hong Kong University of Science and Technology
MStat in the Hong Kong University & MPhil in Biomedical Engineering in the Hong Kong Polytechnic University
Karen Wong
Business Administrator
Extensive sales and marketing background with rich experience in coordinating market research activities
Year 4 student in Integrated Bachelor of Business Administration, the Chinese University of Hong Kong
Latest Publication
Li HHT, Chan LC, Wen C. A Machine Learning-based Predictive Model for Progression of Knee Osteoarthritis from Clinical Data. Osteoarthritis and Cartilage. 2020; 28, S312-S314. doi.org/10.1016/j.joca.2020.02.485
Partnership
We have established connections with experts from an array of industries for medical consultations, technical support, and collaboration opportunities.
To incorporate medical images
(e.g. X-ray and ultrasound images)
Dr. Harry QIN,
Assistant Professor of School of Nursing at the Hong Kong Polytechnic University
Prof. Simo SAARAKKALA,
Professor of Biomedical Engineering, University of Oulu
To acquire insights of AI in healthcare sector
Toby Li
Project Coordinator
Strong biomedical background with medical device regulation knowledge
Valuable connections with many multidisciplinary clinical practitioners
Year 4 student in Biomedical Engineering with Prosthetics and Orthotics, The Hong Kong Polytechnic University