NCT06931782

Brief Summary

This study will evaluate the impact of using the GPT-4o compared to traditional online tools in the field of respiratory disease prevention, focusing on the dissemination of knowledge and behavior changes among the general public. We will explore the effectiveness of GPT-4o in enhancing public awareness and management capabilities regarding respiratory diseases and promoting appropriate preventive behaviors.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
2,400

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jan 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 1, 2025

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

March 26, 2025

Completed
22 days until next milestone

First Posted

Study publicly available on registry

April 17, 2025

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 31, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2025

Completed
Last Updated

April 17, 2025

Status Verified

April 1, 2025

Enrollment Period

5 months

First QC Date

March 26, 2025

Last Update Submit

April 9, 2025

Conditions

Respiratory DiseasesArtificial Intelligence (AI)Randomized Controlled Trial

Outcome Measures

Primary Outcomes (1)

  • the accuracy of participants in answering questions related to triage, diagnosis, and risk factor identification of respiratory diseases using artificial intelligence versus internet-based information retrieval assessed by questionnaire survey

    From enrollment to the end of test at 1 hour.

Secondary Outcomes (2)

  • the accuracy of different subgroups in answering questions related to triage, diagnosis, and risk factor identification of respiratory diseases using artificial intelligence versus internet-based information retrieval assessed by questionnaire survey

    From enrollment to the end of test at 1 hour.

  • Time (in seconds) participants spend per questionnaire between the two study arms.

    From enrollment to the end of test at 1 hour.

Study Arms (2)

AI-Assisted Group

EXPERIMENTAL

Participants completed the questionnaire using AI-driven tools for content generation and information retrieval.

Other: AI

Internet-Based Group

NO INTERVENTION

Participants completed the questionnaire using standard internet search engines for information retrieval.

Interventions

AIOTHER

GPT-4o fine-tuned with the Lungdiag database

AI-Assisted Group

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • No medical background
  • Aged from 18 to 75 years old

You may not qualify if:

  • Had a medical background
  • Exceeds the age criteria
  • Failed to comply with the survey requirements

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120

Guangzhou, Guangdong, 510120, China

Location

MeSH Terms

Conditions

Respiratory Tract Diseases

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
PREVENTION
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

March 26, 2025

First Posted

April 17, 2025

Study Start

January 1, 2025

Primary Completion

May 31, 2025

Study Completion

June 30, 2025

Last Updated

April 17, 2025

Record last verified: 2025-04

Data Sharing

IPD Sharing
Will share

This study aims to evaluate the effectiveness of artificial intelligence (AI) in the prevention, diagnosis, and triage of respiratory diseases, utilizing a multicenter, randomized controlled trial design. A total of 2400 participants aged 18 to 75 without a medical background will be recruited and randomly assigned to two groups: one group will complete surveys with the assistance of AI tools, while the other group will use standard internet resources to fill out the surveys. The primary outcome measures will include triage accuracy rates, preliminary diagnosis compliance rates, and completeness of risk factor identification, while secondary outcomes will focus on variations in performance across different regions and the lifestyle habits and health indicators of participants. To ensure data quality, training will be conducted at each center, with real-time data entry and auditing processes established. The study plan also includes emergency response protocols and data security manage

Shared Documents
STUDY PROTOCOL

Locations

CN(1)