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AI-based Physiotherapy Evaluation System for Range of Motion in Oral Cancer Patients
Sponsor: National Taiwan University Hospital
Summary
This study aims to evaluate the validity and reliability of a novel AI-based physiotherapy evaluation system for measuring oromandibular and neck-shoulder range of motion (ROM). Traditional ROM assessments rely on manual measurements, which may be influenced by rater experience and variability. The proposed AI system uses automated keypoint tracking to provide objective and standardized measurements. In this cross-sectional study, healthy adult participants will perform standardized ROM tasks. Measurements obtained from the AI system will be compared with those from two independent raters using conventional clinical tools. Repeated measurements will be conducted to assess intra-rater and inter-rater reliability. The agreement between the AI system and human raters will be evaluated to determine the system's clinical applicability.
Official title: Validity and Reliability of an AI-based Physiotherapy Evaluation System for Oromandibular and Neck-Shoulder Range of Motion in Oral Cancer Patients
Key Details
Gender
All
Age Range
20 Years - 70 Years
Study Type
OBSERVATIONAL
Enrollment
20
Start Date
2026-04-10
Completion Date
2027-12-31
Last Updated
2026-04-03
Healthy Volunteers
Yes
Conditions
Locations (1)
School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Taipei, Taiwan