AI tool to measure jaw, neck, and shoulder movement for oral cancer care
Official title: Validity and Reliability of an AI-based Physiotherapy Evaluation System for Oromandibular and Neck-Shoulder Range of Motion in Oral Cancer Patients
Run by National Taiwan University Hospital · NCT07509619 · Data updated 2026-11-12
This project tests an AI system that automatically measures jaw, neck, and shoulder movement for people with or recovering from oral cancer and compares its readings to manual measurements.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 20 Years to 70 Years |
| Sex | All |
| Enrollment | 20 (estimated) |
| Sponsor | National Taiwan University Hospital Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 1 site (Taipei) |
| Status | Recruiting |
| Started | April 7, 2026 |
| Main results expected | May 31, 2026 |
| Study ends | December 31, 2027 |
| Registry record updated | April 13, 2026 |
| Trial ID | NCT07509619 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
This validation phase enrolls healthy adults aged 20–70 who have no trismus, no history of head/neck/shoulder injury or surgery, and no prior head and neck cancer treatments.
✕Probably not a fit
People with trismus, recent head/neck/shoulder surgery, active head and neck cancer treatment, or inability to follow instructions are unlikely to benefit from this validation study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This cross-sectional measurement study uses healthy adults aged 20–70 to validate an AI-based physiotherapy evaluation system for oromandibular and neck-shoulder range of motion. Participants perform standardized mouth opening and cervical/shoulder movements while the AI records real-time keypoints and calculates angles. Each movement is measured three times by the AI and independently by two blinded human raters using goniometers or a TheraBite scale, with the order of methods randomized. Reliability will be measured with intraclass correlation coefficients and agreement checked with Bland-Altman analysis and mean absolute error.
Why it matters
Potential benefit: If successful, the AI tool could provide faster, more objective, and more consistent range-of-motion measurements to support rehab for people with oral cancer.
How similar studies have gone: AI keypoint-tracking approaches have shown promising reliability for other musculoskeletal ROM measurements, but application specifically to oromandibular movement in oral cancer care is less well established.
Who can join: the full rules
Show full inclusion / exclusion criteria
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
Where it's running
-
School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Taipei, Taiwan Recruiting
Study contacts
- Principal investigator: Yueh-Hsia Chen, Ph.D. — School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
- Study coordinator: Yueh-Hsia Chen, Ph.D.
- Email: yuehhsiachen@ntu.edu.tw
- Phone: +886-2-33668133
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.