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Machine Learning for Evaluating and Diagnosing Temporomandibular Disorders
Sponsor: En Chu Kong Hospital
Summary
This study aims to improve clinical efficiency and effectiveness in treating Temporomandibular Disorders (TMD). The researchers will integrate machine learning technology with clinical examination data, CBCT, and MRI to identify the core underlying issues of each patient. Based on this precise, AI-assisted diagnosis, the study will implement a tailored treatment framework. The final goal is to develop predictive algorithms that can determine MRI necessity while ensuring that clinical interventions are highly targeted, efficient, and successful.
Official title: Development of an Integrated Evaluation-to-Treatment Framework to Enhance Clinical Efficiency and Effectiveness in Temporomandibular Disorders
Key Details
Gender
All
Age Range
18 Years - 70 Years
Study Type
INTERVENTIONAL
Enrollment
180
Start Date
2026-10-05
Completion Date
2027-07-31
Last Updated
2026-08-18
Healthy Volunteers
No
Interventions
Low-Level Laser Acupuncture
Laser acupuncture targets the Xiaguan (ST7), Yifeng (SJ17), and bilateral Fengchi (GB20) points once weekly. For the LLLT+LLLT group, active laser is given for 4 weeks. For the Sham+LLLT group, sham laser is given for the first 2 weeks followed by 2 weeks of active laser.
Proprioceptive Training
Includes gentle teeth tapping, tongue-to-palate contact, and neutral head-neck posture exercises, performed three times daily for 4 weeks.
Stabilization Splint Treatment
Standard conservative clinical care utilizing a hard acrylic flat-plane stabilization splint (centric stabilization splint) for TMD management. The splint is customized to provide even, bilateral occlusal contact in the musculoskeletal stable position during the 4-week trial period.