Using AI to measure jaw and shoulder movement in oral cancer patients
Official title: A Novel Technique for Estimating Maximal Jaw Movement, Neck and Shoulder Joint Range of Motion Using an Artificial Intelligence Model
Run by National Taiwan University Hospital · NCT06629038 · Data updated 2026-11-12
This study is testing a new AI system to see if it can accurately track jaw and shoulder movements in people with oral cancer compared to traditional measurement methods.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 20 Years to 65 Years |
| Sex | All |
| Enrollment | 40 (estimated) |
| Sponsor | National Taiwan University Hospital Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Taipei) |
| Status | Recruiting |
| Started | December 5, 2024 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | February 11, 2026 |
| Trial ID | NCT06629038 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include oral cancer patients aged 20 to 65 who exhibit trismus or other shoulder joint impairments following treatment.
✕Probably not a fit
Patients who have communication difficulties or any disorders affecting movement performance may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to develop an AI-based system that tracks mandibular and shoulder movements in patients with oral cancer. By utilizing deep learning techniques, the study will compare AI-generated pose estimations with traditional gold standard measurements to evaluate accuracy. It will involve 20 healthy adults and 20 oral cancer patients, collecting data on maximal mouth opening and shoulder abduction through video recordings and physical measurements. The performance of the AI model will be assessed using various statistical indicators to determine its reliability and accuracy.
Why it matters
Potential benefit: If successful, this study could provide a non-invasive method for accurately assessing functional impairments in oral cancer patients, leading to better treatment planning and rehabilitation.
How similar studies have gone: While the use of AI for pose estimation is gaining traction, this specific application in oral cancer rehabilitation is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Healthy adults without a history of head, neck or shoulder injury or surgery, and without HNC-related radiotherapy or chemoradiotherapy * Oral cancer patients with trismus, clinical signs of neck or shoulder joint impairment after oral cancer surgery or radiotherapy * Age between 20 and 65 years Exclusion Criteria: * Could not communicate * Had any disorder that could influence movement performance
Where it's running
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School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Taipei, Taiwan Recruiting
Study contacts
- Principal investigator: Yueh-Hsia Chen, PhD — School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
- Study coordinator: Yueh-Hsia Chen, PhD
- Email: yuehhsiachen@ntu.edu.tw
- Phone: +886 921435981
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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.