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
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
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Interventions
observation of maximal mouth opening, lateral excursion, and range of motion of shoulder abduction, neck joint
Locations(1)
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NCT06629038