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

Recruiting now

Conditions studied: Oral Cancer

In brief

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.

Key facts

Study ID

NCT06629038

Run by

National Taiwan University Hospital

People needed

40

Starts

2024-12-05

Expected to finish

2026-12-31

Last updated by the study team

2026-02-11

Who can join

Age: 20 and older, up to 65. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 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

You may not qualify if…

• Could not communicate
• Had any disorder that could influence movement performance

Where it is running

• School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University — Taipei, Taiwan (enrolling)

Full record on ClinicalTrials.gov

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