A Systematic Review of the Application of Camera-Based Human Pose Estimation in the Field of Sport and Physical Exercise.
Aritz Badiola-Bengoa, Amaia Mendez-Zorrilla
https://pubmed.ncbi.nlm.nih.gov/34577204Actively Recruiting
Phase Not Applicable
Age: 20Years - 65Years
All Genders
ID06785051
Effects of AI-Based Physiotherapy on Mandibular Mobility, Shoulder Function, Whole-Body Physical Function, and Quality of Life in Oral Cancer Patients
Led by National Taiwan University Hospital · Updated on 2026-04-03
100
Participants Needed
2
Research Sites
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
This research aims to evaluate the effects of AI-based physiotherapy on oral function, shoulder function, whole-body physical function, and quality of life in patients with oral cancer. The study will enroll 100 newly diagnosed oral cancer patients before they begin surgery, chemotherapy, or radiotherapy to compare AI-guided physiotherapy with usual care. It focuses on important measures such as mouth opening, joint movement, pain, endurance, and upper extremity function to understand how these therapies impact recovery and daily life. Participants will be randomly assigned to one of two groups: an experimental group receiving 12 weeks of AI-guided physiotherapy and a control group receiving conventional physiotherapy as usual care. Both groups will perform jaw, neck, and shoulder range of motion exercises and scapular-focused exercises for 30 minutes once a week. The experimental group will use a mobile app to guide exercises, monitor progress, and keep exercise diaries. Additional scar management using massage and jaw mobilization with devices is also included. Throughout the study, participants will be assessed at baseline, before starting interventions, and three months after finishing the therapy. Evaluations will include maximum mouth opening, shoulder joint range of motion, pain levels, endurance through a 6-minute walk test, upper extremity function using the Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire, and quality of life using the EORTC QLQ-C30 questionnaire. These measurements will help understand the impact of AI-based physiotherapy on physical functions and overall wellbeing.
CONDITIONS
Brief Title
AI-based Physiotherapy for Oral Cancer Patients
Who Can Participate
Age: 20Years - 65Years
All Genders
Eligibility Criteria
You may qualify if you...
- Newly diagnosed oral cancer patients scheduled for surgery, radiotherapy, chemotherapy, or chemoradiotherapy
- Age between 20 and 65 years
You will not qualify if you...
- Unable to communicate effectively
- Having any disorder that could affect movement performance
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
1
2
3
Your Study Journey
Screening
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Treatment
Duration - 12 weeks
Participants receive AI-based physiotherapy or usual care involving jaw, neck, shoulder, and scapular exercises once a week for 12 weeks.
Weekly visits for 12 weeks
Follow-up
Duration - 3 months post-intervention
Participants are assessed for changes in mouth opening, shoulder joint range of motion, pain, endurance, upper extremity function, and quality of life 3 months after completing treatment.
1 follow-up visit (in-person)
Trial Site Locations
Total: 2 locations
1
National Taiwan University Hospital
Taipei, Taiwan
Actively Recruiting
2
Taipei Veterans General Hospital
Taipei, Taiwan
Not Yet Recruiting
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Research Team
Y
Yueh-Hsia Chen, PhD
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NON_RANDOMIZED
Model
PARALLEL
Primary Purpose
TREATMENT
Number of Arms
2
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