MedTrace Logo

AI-assisted Quality Control Study of Multimodal Data in the Epidemiological Survey of Shanghai Nicheng Cohort Study

NCT06961461 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 900

Last updated 2025-05-08

No results posted yet for this study

Summary

This study is based on the Nicheng Cohort study. This study intends to analyze whether AI assistance can effectively improve the efficiency and accuracy of quality control of data collected in large-scale epidemiological surveys based on traditional quality control processes.

Conditions

  • Quality Control
  • Cohort Studies

Interventions

OTHER

AI-assisted quality control tool

In this study, quality control personnel will be randomly divided into an experimental group and a control group, and will use artificial intelligence-assisted quality control and manual quality control to conduct quality control on the data collected from the epidemiological survey. Experimental group: Quality control personnel will use the AI system to perform quality control on the questionnaire recordings. Control group: The questionnaire content was checked by manually listening back to the recordings and errors were recorded manually.

Sponsors & Collaborators

  • Shanghai 6th People's Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-05-01
Primary Completion
2025-06-15
Completion
2025-08-15

More Related Trials

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 NCT06961461 on ClinicalTrials.gov