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RECRUITING
NCT06629038

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

Sponsor: National Taiwan University Hospital

View on ClinicalTrials.gov

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.

Official title: A Novel Technique for Estimating Maximal Jaw Movement, Neck and Shoulder Joint Range of Motion Using an Artificial Intelligence Model

Key Details

Gender

All

Age Range

20 Years - 65 Years

Study Type

OBSERVATIONAL

Enrollment

40

Start Date

2024-12-05

Completion Date

2026-12-31

Last Updated

2026-02-11

Healthy Volunteers

Yes

Conditions

Interventions

BEHAVIORAL

observation alone

observation of maximal mouth opening, lateral excursion, and range of motion of shoulder abduction, neck joint

Locations (1)

School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University

Taipei, Taiwan