CLAIRE Clinical AI Research

From Illness Reactivity
to Wellness Proactivity

Year of

Establishment

>80%

State-of-the-art
Precision

20+

Connections and Partners

International Innovation / Entrepreneurship Awards

AI-based Knee Osteoarthritis Prognostic Model + Patient Self-management Mobile Application

Goals

Enhance the interplay between primary and secondary healthcare
Improve chronic disease management
Facilitate more accurate insurance price estimations
Safeguard public health

Performance

Trained with over 20,000 knee samples from HK and US
Achieved a prediction precision of over 80%
State-of-the-art

Target Audience

Healthcare providers: To assist in KOA personalised treatment design, evaluation, and case referrals
KOA patients and caregivers: To empower them for the self-management of their health through individualised health education
Insurance companies: To provide health education for their policyholders to reduce claim costs; to collect data for constant policy pricing adjustment

More about Our Projects >

Media Coverages

2021/12/30

頭條日報

商貿先鋒｜AI評估膝關節炎年省14億（下）

2021/12/23

頭條日報

商貿先鋒｜AI評估膝關節炎年省14億（上）

2021/12/13

etnet

理大人工智能系統助膝關節炎診治及管理

Milestones

Latest Publication

Cheung, J. C.-W., Tam, A. Y.-C., Chan, L.-C., Chan, P.-K., & Wen, C. (2021). Superiority of multiple-joint space width over minimum-joint space width approach in the machine learning for radiographic severity and knee osteoarthritis progression. Biology, 10(11), 1107. https://doi.org/10.3390/biology10111107

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