Actively Recruiting
Application of Machine Learning Based on fNIRS in Predicting Acupuncture's Efficacy in Treating Tinnitus
Led by The Third Affiliated hospital of Zhejiang Chinese Medical University · Updated on 2024-04-15
500
Participants Needed
1
Research Sites
139 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Application of Machine Learning Based on fNIRS in Predicting Acupuncture's Efficacy in Treating Tinnitus
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Bilateral tinnitus that meets the diagnostic criteria for chronic subjective tinnitus.
- Male and female, aged between 18 and 60 years.
- Right-handed subjects who are able to comply with the study protocol and sign written informed consent.
- Not participating in other clinical trials concurrently.
You will not qualify if you...
- Participants with objective tinnitus.
- Participants have nervous system diseases or neuropsychiatric diseases that can significantly affect brain blood oxygen metabolism assessed by fNIRS.
- Participants with severe cardiovascular and cerebrovascular diseases, malignant liver and kidney diseases, and other serious diseases.
- Participants have any contraindications for acupuncture (such as a bleeding tendency).
- Pregnant or lactating women.
- Participants have received tinnitus treatment with drugs or other therapies in the last four weeks.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
the Third Affiliated Hospital of Zhejiang Chinese Medical University
Hangzhou, Zhejiang, China, 310000
Actively Recruiting
Research Team
X
Xiaohan Huang, M.M
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
TREATMENT
Number of Arms
1
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