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

NCT06364670 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 500

Last updated 2024-04-15

No results posted yet for this study

Summary

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

  • Tinnitus

Interventions

PROCEDURE

acupuncture

Acupuncture will be performed at acupoints including TE17 (Yifeng), SI19 (Tinggong), GB2 (Tinghui), TE5 (Waiguan), TE3 (Zhongzhu), ST36 (Zusanli ), KI3 (Taixi), and etc.

Sponsors & Collaborators

  • The Third Affiliated hospital of Zhejiang Chinese Medical University

    lead OTHER

Principal Investigators

  • Hantong Hu, M.D · The Third Affiliated hospital of Zhejiang Chinese Medical University

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
60 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-05-31
Primary Completion
2026-08-31
Completion
2026-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06364670 on ClinicalTrials.gov