AI-based Physiotherapy Evaluation System for Range of Motion in Oral Cancer Patients

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.

Eligibility

Inclusion Criteria:

* 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

Exclusion Criteria:

* Inability to communicate or follow instructions
* Any condition that may affect movement performance

Conditions3

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