Application of Machine Learning Based on fNIRS in Predicting Acupuncture's Efficacy in Treating Tinnitus

Recruiting now · Not applicable

Conditions studied: Tinnitus

In brief

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.

Key facts

Study ID

NCT06364670

Run by

The Third Affiliated hospital of Zhejiang Chinese Medical University

People needed

500

Starts

2024-05-01

Expected to finish

2026-12-31

Last updated by the study team

2024-04-15

Who can join

Age: 18 and older, up to 60. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• 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 may not qualify if…

• 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.

Where it is running

• the Third Affiliated Hospital of Zhejiang Chinese Medical University — Hangzhou, Zhejiang, China (enrolling)

Full record on ClinicalTrials.gov

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