Ignite Creation Date:
2024-05-06 @ 8:24 PM
Last Modification Date:
2024-10-26 @ 3:26 PM
Study NCT ID:
NCT06364670
Status:
RECRUITING
Last Update Posted:
2024-04-15
First Post:
2024-04-10
Brief Title:
Application of Machine Learning Based on fNIRS in Predicting Acupunctures Efficacy in Treating Tinnitus
Sponsor:
The Third Affiliated hospital of Zhejiang Chinese Medical University
Organization:
The Third Affiliated hospital of Zhejiang Chinese Medical University
Study Overview
Official Title:
Application of Machine Learning Based on fNIRS in Predicting Acupunctures Efficacy in Treating Tinnitus
Status:
RECRUITING
Status Verified Date:
2024-04
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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
Detailed Description:
This study will recruit 500 subjects with tinnitus Functional near-infrared spectroscopy fNIRS will be employed to examine specific brain regions and the corresponding fNIRS imaging data from all detection channels will be extracted Subsequently the subjects will undergo a course of acupuncture treatment Based on the recovery status of tinnitus at the conclusion of the acupuncture course all subjects will be categorized into a good prognosis group and a poor prognosis group according to relevant efficacy criteria The entire dataset will then be randomly divided into a training set 70 and a test set 30 following a 73 ratio
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None