
From Illness Reactivity
to Wellness Proactivity



AI-based Knee Osteoarthritis Prognostic Model +
Patient Self-management Mobile Application
-
Enhance the interplay between primary and secondary healthcare
-
Improve chronic disease management
-
Safeguard public health

![GettyImages-1175443363 [Converted]-02.pn](https://static.wixstatic.com/media/641860_cdaccc3ae53f44da8537353d87881f65~mv2.png/v1/crop/x_2584,y_201,w_678,h_1379/fill/w_147,h_300,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/GettyImages-1175443363%20%5BConverted%5D-02_pn.png)
-
Trained with over 10,000 KOA subjects
-
Achieved a prediction precision of over 80%
-
State-of-the-art
Current Dataset:
Trained by US Dataset

Additional HK dataset
Improve adaptation to local population prediction


Milestone
Our Team


Latest Publication
Chan, L. C., Li, H. H. T., Chan, P. K., & Wen, C. (2021). A Machine Learning-based Approach to Decipher Multi-etiology of Knee Osteoarthritis Onset and Deterioration. Osteoarthritis and Cartilage Open, 3(1), 100135. doi: https://doi.org/10.1016/j.ocarto.2020.100135
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