Clinical trial Recruiting at 1 site Interventional Ages 18 to 60

Using machine learning to predict acupuncture's effectiveness for tinnitus

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

Run by The Third Affiliated hospital of Zhejiang Chinese Medical University · NCT06364670 · Data updated 2026-11-12

This study is testing whether machine learning can help predict how well acupuncture works for people with tinnitus by looking at their brain activity during treatment.

Quick facts

Study typeInterventional
Ages18 Years to 60 Years
SexAll
Enrollment500 (estimated)
SponsorThe Third Affiliated hospital of Zhejiang Chinese Medical University
Academic / other
Locations1 site (Hangzhou, Zhejiang)
StatusRecruiting
StartedMay 2024
Main results expectedAugust 31, 2026
Study endsDecember 31, 2026
Registry record updatedApril 15, 2024
Trial IDNCT06364670 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are right-handed individuals aged 18 to 60 with chronic subjective tinnitus.

Probably not a fit

Patients with objective tinnitus or significant neurological or psychiatric conditions may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This trial aims to recruit 500 subjects with tinnitus to analyze their brain activity using functional near-infrared spectroscopy (fNIRS). Participants will receive acupuncture treatment, and their recovery will be assessed to categorize them into groups based on prognosis. The study will utilize machine learning to develop a predictive model based on the fNIRS data collected. This approach seeks to enhance understanding of acupuncture's efficacy in treating tinnitus.

Why it matters

Potential benefit: If successful, this study could provide a personalized approach to acupuncture treatment for tinnitus, improving patient outcomes.

How similar studies have gone: While the use of machine learning in acupuncture efficacy prediction is relatively novel, similar studies in other areas have shown promising results.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* 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.

Exclusion Criteria:

* 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's running

  • the Third Affiliated Hospital of Zhejiang Chinese Medical University
    Hangzhou, Zhejiang, China
    Recruiting

Study contacts

  • Principal investigator: Hantong Hu, M.D — The Third Affiliated hospital of Zhejiang Chinese Medical University
  • Study coordinator: Xiaohan Huang, M.M
  • Email: 1215360683@qq.com
  • Phone: 18334334738

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.