Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises.
Swakshar Deb, Md Fokhrul Islam, Shafin Rahman...
https://pubmed.ncbi.nlm.nih.gov/35139022Actively Recruiting
Age: 20Years - 70Years
All Genders
Healthy Volunteers
ID07509619
Validity and Reliability of an AI-based Physiotherapy Evaluation System for Oromandibular and Neck-Shoulder Range of Motion in Oral Cancer Patients
Led by National Taiwan University Hospital · Updated on 2026-04-13
20
Participants Needed
1
Research Sites
82 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are evaluating a new AI-based physiotherapy evaluation system designed to measure the range of motion (ROM) of the mouth, neck, and shoulders. This study aims to assess how reliable and valid this AI system is compared to traditional manual measurements, which can vary depending on the experience of the person conducting them. The study focuses on healthy adults aged 20 to 70 years and explores how well the AI system agrees with human raters using standard clinical tools. Participants will perform standardized movements including mouth opening and neck-shoulder ROM tasks. Each movement will be measured three times using three methods: the AI system with automated keypoint tracking, manual measurement by one rater, and manual measurement by a second independent rater using tools like a goniometer or TheraBite ROM scale. The order of these assessments will be randomized to reduce bias and fatigue, and raters will be blinded to each other's results and the AI measurements. During the study, participants' movements will be carefully evaluated using these different measurement methods. The study will track agreement between AI and manual measurements, as well as reliability within and between raters using statistical methods. Results will help determine if the AI system can provide standardized and objective physiotherapy assessments. The study is expected to run until the end of 2027 and involves a single visit where all measurements take place.
CONDITIONS
Brief Title
AI-based Physiotherapy Evaluation System for Range of Motion in Oral Cancer Patients
Who Can Participate
Age: 20Years - 70Years
All Genders
Healthy Volunteers
Eligibility Criteria
You may qualify if you...
- Healthy adults aged 20 to 70 years
- No trismus
- No history of head, neck, or shoulder injury or surgery
- No history of head and neck cancer-related radiotherapy or chemotherapy
You will not qualify if you...
- Inability to communicate or follow instructions
- Any condition that may 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)
Diagnostic Evaluation
Duration - Single session
Participants perform standardized movements including mouth opening and cervical and shoulder range of motion tasks. Measurements are taken using an AI-based system and manual methods by two independent raters to assess reliability and validity.
1 visit (in-person)
Trial Site Locations
Total: 1 location
1
School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Taipei, Taiwan, 100
Actively Recruiting
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Research Team
Y
Yueh-Hsia Chen, Ph.D.
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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Published Research Related To This Trial
Trismus in oral cancer patients undergoing surgery and radiotherapy.
Padmanidhi Agarwal, H R Shiva Kumar, Kirthi Kumar Rai
https://pubmed.ncbi.nlm.nih.gov/27900243