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
National Taiwan University Hospital
40 participants
Dec 5, 2024
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria3
- 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 Criteria2
- Could not communicate
- Had any disorder that could influence movement performance
Interventions
observation of maximal mouth opening, lateral excursion, and range of motion of shoulder abduction, neck joint
Locations(1)
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NCT06629038