RECRUITINGOBSERVATIONAL
Estimating Jaw, Neck, and Shoulder Range of Motion Using an AI Model
A Novel Technique for Estimating Maximal Jaw Movement, Neck and Shoulder Joint Range of Motion Using an Artificial Intelligence Model
About This Trial
This observational study aims to develop an AI-based system for tracking mandibular and shoulder movements using deep learning techniques. It will compare AI-generated pose estimations with gold standard measurements to assess accuracy, particularly in patients with functional impairments from oral cancer treatment, such as trismus, spinal accessory nerve dysfunction, neck dystonia, and radiation fibrosis.
Who May Be Eligible (Plain English)
Who May Qualify:
- 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
Who Should NOT Join This Trial:
- Could not communicate
- Had any disorder that could influence movement performance
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
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
Treatments Being Tested
BEHAVIORAL
observation alone
observation of maximal mouth opening, lateral excursion, and range of motion of shoulder abduction, neck joint
Locations (1)
School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Taipei, Taiwan