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

NCT06629038 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 40

Last updated 2026-02-11

No results posted yet for this study

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.

Conditions

  • Oral Cancer

Interventions

BEHAVIORAL

observation alone

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

Sponsors & Collaborators

  • National Taiwan University Hospital

    lead OTHER

Principal Investigators

  • Yueh-Hsia Chen, PhD · School and Graduate Institute of Physical Therapy, College of Medicine, National Taiwan University

Eligibility

Min Age
20 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-12-05
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06629038 on ClinicalTrials.gov