Actively Recruiting
Estimating Jaw, Neck, and Shoulder Range of Motion Using an AI Model
Led by National Taiwan University Hospital · Updated on 2026-02-11
40
Participants Needed
1
Research Sites
108 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Estimating Jaw, Neck, and Shoulder Range of Motion Using an AI Model
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Healthy adults without a history of head, neck, or shoulder injury or surgery, and without head and neck cancer-related radiotherapy or chemoradiotherapy
- Oral cancer patients with trismus or clinical signs of neck or shoulder joint impairment after oral cancer surgery or radiotherapy
- Age between 20 and 65 years
You will not qualify if you...
- Unable to communicate
- Any disorder that could affect movement performance
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Taipei, Taiwan, 100
Actively Recruiting
Research Team
Y
Yueh-Hsia Chen, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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