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Estimating Jaw, Neck, and Shoulder Range of Motion Using an AI Model

Recruitingn/aAges 20 Years - 65 YearsAllNational Taiwan University Hospital
NCT06629038 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
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
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What it tests

  • observation alone
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Where

1 site
School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University
Taipei, Taiwan
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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