Effects of a Machine Learning-based Lower Limb Exercise Training System for Knee Pain

NANot yet recruitingINTERVENTIONAL
Enrollment

264

Participants

Timeline

Start Date

October 30, 2025

Primary Completion Date

January 31, 2027

Study Completion Date

March 31, 2027

Conditions
PainKnee Osteoarthritis
Interventions
DEVICE

The AI-powered Technological Surrogate Physiotherapist

"The AI-powered Technological Surrogate Physiotherapist will have three key features:~1. Evidence-based exercise videos instructed by physical therapists~2. Real-time movement feedback and performance score~3. Exercise records."

BEHAVIORAL

Face-to-face physiotherapist-supervised exercise program

Physiotherapists will give usual face-to-face therapy. The assessment of participants' exercise movements will only be achieved in the traditional manner during face-to-face exercise sessions - by physiotherapists' visual inspection of and professional judgement on postural alignment and effectiveness, with verbal instructions for posture correction. The features of real-time movement feedback and tracking of exercise progress will not be provided.

COMBINATION_PRODUCT

The AI-powered Technological Surrogate Physiotherapist Plus Face-to-face physiotherapist-supervised exercise program

This group will attend in-person group therapy sessions, while additionally completing weekly home exercise sessions using the TSP system.

Trial Locations (1)

000

826, Haking Wong Building, Pokfulam, The University of Hong Kong, Hong Kong, Hong Kong

All Listed Sponsors
lead

The University of Hong Kong

OTHER

NCT05173064 - Effects of a Machine Learning-based Lower Limb Exercise Training System for Knee Pain | Biotech Hunter | Biotech Hunter