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

RECRUITINGSponsored by National Taiwan University Hospital
Actively Recruiting
SponsorNational Taiwan University Hospital
Started2024-12-05
Est. completion2026-12-31
Eligibility
Age20 Years – 65 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06629038

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

Age: 20 Years – 65 YearsHealthy volunteers accepted
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

Conditions2

CancerOral Cancer

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