A multi-center prospective validation of ‘MSKalign’ digital low back pain management platform enabling AI auto-evaluation, personalized physiotherapy prescription, and dynamic disease progression prediction
Grant Data
Project Title
A multi-center prospective validation of ‘MSKalign’ digital low back pain management platform enabling AI auto-evaluation, personalized physiotherapy prescription, and dynamic disease progression prediction
Principal Investigator
Professor Zhang, Teng Grace
(Principal Investigator (PI))
Co-Investigator(s)
Professor Lam Chor Yin
(Co-Investigator)
Chief of Service Mok Wing-yuk
(Co-Investigator)
Professor Cheung Jason Pui Yin
(Co-Investigator)
Duration
36
Start Date
2024-12-01
Amount
1099000
Conference Title
A multi-center prospective validation of ‘MSKalign’ digital low back pain management platform enabling AI auto-evaluation, personalized physiotherapy prescription, and dynamic disease progression prediction
Keywords
AI auto-evaluation, Telemedicine , Low back pain, Computer vision, Detection algorithms
Discipline
Others - Medicine, Dentistry and Health
HKU Project Code
21223141
Grant Type
Health and Medical Research Fund 2022
Funding Year
2022
Status
On-going
Objectives
This study aims to clinically validate musculoskeletal alignment (MSKalign) digital management platform for low back pain (LBP) with AI auto-evaluation, personalized physiotherapy (PT) planning, and disease progression prediction. Hypothesis: MSKalign has high sensitivity in detecting and accurately evaluating LBP that requires personalized medical intervention, as well as high sensitivity in predicting subject-specific disease progression using baseline demographic information.