Clinical trials: Acupuncture Learning, open to volunteers
Tinnitus
Application of Machine Learning Based on fNIRS in Predicting Acupuncture's Efficacy in Treating Tinnitus
This trial aims to use machine learning to analyze fNIRS imaging data of specific brain regions of tinnitus patients, thereby constructing a predictive model of the clinical efficacy of acupuncture for SNT.
- Trial name
- NCT06364670
- Testing
- acupuncture
- Where
- China
- Volunteers
- 500 people
- Sponsor
- The Third Affiliated hospital of Zhejiang Chinese Medical University
Chronic Low Back Pain (cLBP)
Integration of Virtual Reality and Traditional Acupuncture: From Education to Clinical Practice.
This research project aims to develop and validate whether a "VR-assisted traditional acupuncture therapy model" provides superior pain relief and functional improvement compared to acupuncture alone.
- Trial name
- NCT07816796
- Testing
- VR-Assisted Acupuncture Group, Traditional Acupuncture Group, Conventional Care / Outcome Assessment Only
- Volunteers
- 90 people
- Sponsor
- China Medical University Hospital
Temporomandibular Disorders (TMD), TMJ Disorder
Machine Learning for Evaluating and Diagnosing Temporomandibular Disorders
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…
- Conditions
- Temporomandibular Disorders (TMD), TMJ Disorder, TMJ Pain
- Trial name
- NCT07771296
- Testing
- Low-Level Laser Acupuncture, Proprioceptive Training, Stabilization Splint Treatment
- Where
- Taiwan
- Volunteers
- 180 people
- Sponsor
- En Chu Kong Hospital