Estimating Jaw, Neck, and Shoulder Range of Motion Using an AI Model
ConditionOral Cancer
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age20-65
SponsorNational Taiwan University Hospital
About this trial
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 criteria
Qualifiers
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
Disqualifiers
Could not communicate
Had any disorder that could influence movement performance
Trial design
Treatments tested in this trial
- observation alone
Treatment groups
40 Participants
are divided into 2 treatment groupsSponsors and collaborators
Source ClinicalTrials.gov