AI-assisted approach to diagnose and treat temporomandibular disorders
Official title: Development of an Integrated Evaluation-to-Treatment Framework to Enhance Clinical Efficiency and Effectiveness in Temporomandibular Disorders
Run by En Chu Kong Hospital · NCT07771296 · Data updated 2026-11-12
This study tests a machine-learning approach that uses clinical data, CBCT, and MRI to guide personalized treatment for people with temporomandibular disorders.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 70 Years |
| Sex | All |
| Enrollment | 180 (estimated) |
| Sponsor | En Chu Kong Hospital Academic / other |
| Locations | 1 site (New Taipei City, Sanxia) |
| Status | Recruiting |
| Started | October 9, 2026 |
| Main results expected | July 25, 2027 |
| Study ends | July 31, 2027 |
| Registry record updated | October 13, 2026 |
| Trial ID | NCT07771296 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18-70 with TMD-related muscle-origin jaw pain who have not fully responded to analgesics for at least one week and meet baseline eligibility.
✕Probably not a fit
Patients with significant psychosocial comorbidity, TMJ/head and neck tumors, active infections, or certain exclusions may not benefit from this approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
The trial combines machine learning with standard clinical assessment and imaging to identify core issues in TMD patients. It enrolls about 180 participants and uses strict screening to exclude psychosocial confounders and certain comorbidities. Baseline CBCT and MRI data, along with clinical exams, train multi-modal models to predict the need for MRI and to tailor treatment. Participants are stratified by maximum mouth opening and randomized to three treatment arms: proprioceptive training with sham laser and low-level laser therapy (LLLT), proprioceptive training with active LLLT, or a waiting-list control receiving standard care. The aim is to improve diagnostic precision and create a predictive framework for imaging necessity and targeted interventions.
Why it matters
Potential benefit: If successful, patients may receive more precise diagnoses and more effective, customized treatment plans with potentially fewer unnecessary MRI scans.
How similar studies have gone: Prior studies have shown promise for multi-modal imaging and machine-learning insights in musculoskeletal disorders, though this exact approach in TMD is relatively novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients diagnosed with temporomandibular disorders (TMDs) screened by the Department of Dentistry, Division of Oral and Maxillofacial Surgery at En Chu Kong Hospital, who have failed to respond to analgesic treatment for at least one week. * Patients clinically examined and identified as having pain predominantly originating from muscles associated with mandibular movement. * Patients aged between 18 and 70 years (inclusive) with full legal capacity. * Patients who are willing to participate in the study and provide written informed consent. Exclusion Criteria: * Patients meeting any of the following clinical scale thresholds: Generalized Anxiety Disorder-7 (GAD-7)≥ 10, Patient Health Questionnaire-9 (PHQ-9) ≥ 15, Patient Health Questionnaire-15 (PHQ-15) ≥ 10, or Pittsburgh Sleep Quality Index (PSQI) \> 5. * Patients with tumors of the temporomandibular joint (TMJ) or head and neck region. * Patients with acute or chronic infections. * Patients with a history of neuropathy or stroke. * Patients with a history of head and neck trauma. * Patients diagnosed with fibromyalgia. * Patients diagnosed with autoimmune or rheumatic diseases. * Patients diagnosed with irritable bowel syndrome (IBS). * Patients with claustrophobia (unable to undergo MRI examination). * Women who are pregnant or lactating, or parents currently in the infant care/nursing period. * Patients who have received invasive treatment for temporomandibular joint disorders within the past 3 months.
Where it's running
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En Chu Kong Hospital
New Taipei City, Sanxia, Taiwan Recruiting
Study contacts
- Study coordinator: Ting-Yu Huang, D.D.S.
- Email: tingyuh3012@gmail.com
- Phone: +886-933-605-102
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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This trial will test whether online or group physiotherapy works as well as individual physiotherapy for adults with TMD-related jaw muscle pain.
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.